CN109726694B - Iris image acquisition method and device - Google Patents
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Abstract
The invention discloses an iris image acquisition method and device, wherein the iris image acquisition method comprises the following steps: s1, starting a second camera and displaying a field picture in real time; s2, after the face appears on the mapping scene, prompting the user to move the face to a proper position; s3, after the face position enters the iris recognition area, starting the first camera and the infrared light supplementing lamp to acquire an iris image; s4, preprocessing the iris image, extracting iris characteristics, matching the iris characteristics with iris data in a database, and outputting an identity judgment result. An iris recognition apparatus thereof, comprising: a processor; the first camera is used for acquiring iris images; the second camera is used for acquiring a face image; an infrared light supplementing lamp; a display screen; a flash memory; the communication interface module is used for being in communication connection with external equipment; the signal ends of the first camera, the second camera, the infrared light supplementing lamp, the display screen, the memory, the flash memory and the communication interface module are respectively in communication connection with the signal end of the processor.
Description
Technical Field
The invention relates to the field of computer vision, in particular to an iris image acquisition method and device.
Background
Since the advent of iris recognition technology and with the technological age, iris recognition technology has begun to walk into people's daily lives: the iris recognition technology is applied to the fields of mine construction sites, prisons/anti-terrorism/public security/customs/careers, finance/banking/tax, child loss and the like, provides convenience for personnel access management, enterprise and public institution management or identity recognition management, and is very important due to the characteristics of imitation prevention, stability, uniqueness, non-contact and the like of the iris recognition technology, and is particularly suitable for environment perception technology with high confidentiality requirements. Iris recognition technology has been playing an increasing role in many fields at home and abroad, such as customs management in the automatic identity detection systems of airports and harbors, granting different rights to authenticated personnel in important guard areas, channels and port applications and automatically taking measures by the system to close unauthorized personnel attempting to forcedly pass through in guard spaces. Because the iris is a part of human eyes, a high-quality clear iris image needs to be acquired at a relatively short distance, and an iris image with higher quality needs to be acquired better by irradiation of infrared rays, when people need to perform iris recognition, the iris image which is close to an iris recognition device and meets the iris recognition requirement can be acquired according to the fact that eyes appear in a designated area, the iris image which is usually displayed on a screen film is black and white, the place of an LED (light-emitting diode) irradiated central area is very bright, the place of an edge area is very dark, the human eyes are very close, and the light from the screen is easy to stimulate or resist the discomfort of people; especially in the case of very dark surroundings, there is also a feeling of scaring, so that a contradicting mind appears, and this unfriendly user experience affects the wide application of iris recognition technology.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the technical problem to be solved by the present invention is to provide an iris acquisition method and apparatus, which can solve the problem that iris images from the acquisition to the recognition in the iris recognition process are not required to appear on a display screen any more, and by using a more natural and more relevant interactive interface, the mood of the user is more pleasant, and the user's use and experience friendliness is improved, so that the popularization and wide application of the iris recognition technology are facilitated.
In order to achieve the above purpose, the invention provides the method, which comprises the steps of integrating two cameras on the iris recognition device, wherein the two cameras need to be calibrated for face images and iris images before assembly, the first camera of the iris recognition device is used for black-and-white iris image acquisition after calibration, the second camera is used for colored on-site image acquisition, then when the iris recognition device is used, a real-time picture acquired from the face camera is always displayed on a display screen, and when the face is detected to appear in the center of the picture, the iris camera is started to acquire the iris images and output a judgment result through iris recognition, but the user can not feel the existence of the iris recognition process all the time, but can see the colored face picture of the user, so that good experience is achieved.
The invention provides an iris image acquisition method, which is expected in the demonstration concept, and the technical scheme comprises the following steps:
(1) The method comprises the steps of calibrating iris images, placing a first camera at a designated position of a calibrating system, starting the calibrating system and lighting the first camera; at the moment, the eye-sunny image of the calibration plate is fixed at a near-distance position, the first camera acquires the eye image of the calibration plate, and the relation between the size and the distance of the eye and the optical axis and the angle of view of the first camera is calculated according to the geometrical relation after the position of the eye outline on the image is found, so that the three-dimensional coordinate system parameters of the eye-sunny at the near-distance position are established;
moving the eye-sunny image of the calibration plate to a middle distance position, wherein the first camera acquires the eye image of the calibration plate, and after finding the position of the eye outline on the image, calculating the relation between the size and the distance of the eye and the optical axis and the angle of view of the first camera according to the geometrical relation, so as to establish the parameters of the three-dimensional coordinate system of the eye at the middle distance;
moving the eye-sunny image of the calibration plate to a remote position, wherein the first camera acquires the eye image of the calibration plate, and after finding the position of the eye outline on the image, calculating the relation between the size and the distance of the eye and the optical axis and the angle of view of the first camera according to the geometrical relation, so as to establish the parameters of the three-dimensional coordinate system of the eye at the remote position;
and finally, carrying out association calculation on the three groups of parameters and the standard iris recognition effective area parameters to obtain compensation parameters, and finally writing the compensation parameters into the camera system.
(2) The face image is calibrated, the second camera is placed at the appointed position of the calibration system, the calibration system is started, and the second camera is lightened; at the moment, the face image of the calibration plate is fixed at a near-distance position, the second camera acquires the face image of the calibration plate, and the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera is calculated according to the geometrical relationship after the face contour is found out at the position of the face image, so that the three-dimensional coordinate system parameters of the face at the near-distance position are established;
moving the eye-sunny image of the calibration plate to a middle distance position, and a second camera acquires a face image on the calibration plate, and calculating the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera according to the geometric relationship after finding the position of the face outline on the image, so as to establish the three-dimensional coordinate system parameters of the face at the middle distance;
moving the face image of the calibration plate to a remote position, and the second camera acquires the face image of the calibration plate, and calculating the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera according to the geometric relationship after finding the position of the face outline on the image, so as to establish the three-dimensional coordinate system parameters of the face at the remote position; and finally, carrying out association calculation on the three groups of parameters and the standard face recognition effective area parameters to obtain compensation parameters, and finally writing the compensation parameters into the camera system.
(3) The face and iris calibration method comprises the steps that a first camera and a second camera are placed at the appointed position of a calibration system at the same time, the calibration system is started, and the first camera and the second camera are lightened; at the moment, a face image and an iris image on the calibration plate are obtained at the same time, an optical axis of the first camera and an optical axis of the second camera are calculated, and then, after the geometrical relationship between the face position and the iris image position on the calibration plate and the first camera position and the second camera position is calculated, the relative fixed position parameters of the first camera and the second camera are written into the camera system.
(4) The first camera and the second camera after being calibrated are installed on an iris recognition device, the iris recognition device enters an iris recognition system after being electrified, at the moment, a video collected by the second camera is set and appears on a display screen, and when a face picture appears on the display screen, a face detection unit of a processor of the iris recognition device calculates the position of a face and reads out position parameters from the corresponding system for matching;
if the face position is detected to be in the range of the non-iris recognition area, the user can be prompted to move the face position to a proper position through voice, the user can be prompted to move the face position to a proper position through a picture including but not limited to characters or/and graphics or/and colors on a display screen, and the user can also be prompted to move the face position to a proper position through voice and the display screen picture.
When the face image appears above the display screen, reminding a user of needing to squat down through the display screen or the loudspeaker, so that the face of the user moves downwards to be within the allowable range of iris recognition;
when the face image appears below the display screen, the user is reminded of standing higher through the display screen or the loudspeaker, so that the face of the user moves to the allowable range of iris recognition;
when the face image appears on the display screen in a larger size, the user is reminded of needing to stand far through the display screen or the loudspeaker, so that the face of the user moves backwards to be within the allowable range of iris recognition;
when the face image appears on the display screen in a smaller size, the user is reminded of needing to stand close to the display screen or the loudspeaker, so that the face of the user moves forward to be within the iris recognition allowable range.
Once the face position is detected to enter the iris recognition area, the iris recognition device immediately stops prompting the face position to be no longer required to be adjusted and sends out an instruction for starting iris recognition, and simultaneously starts the first camera and the infrared light supplementing lamp and acquires iris images;
the processor performs iris image preprocessing after receiving an iris image, wherein the iris image preprocessing comprises the steps of positioning the positions and the inner and outer edges of an iris in the iris image, detecting the part of an iris area, which is blocked by eyelids, eyelashes and highlight points, enhancing the normalized iris image and the iris image, obtaining the provenance of specific technical contents from a hundred-degree library search paper 'iris recognition method research under the condition of less matching of users', extracting iris characteristics and codes after the iris image preprocessing process is completed, comparing the iris characteristics and codes with prestored iris characteristic library information, and finally outputting an identity judgment result; the iris image can not appear on the display screen picture all the time in the iris recognition process.
(5) The iris recognition device outputs an identity judgment result and can communicate with external equipment through a communication interface module including but not limited to a relay interface, a wiegand interface, an Ethernet interface and the like to transmit data, so that the on-off control of the access control is realized.
The beneficial effects of the invention are as follows: the iris recognition device can realize that only color images of users appear on the display screen in the whole iris recognition process instead of traditional black-and-white images, and avoid unfriendly experiences such as resistance, countersense, frightening and the like brought by black-and-white images to the users; the display screen always shows colored and face images, so that the display screen is more in line with the expectations of people as much as possible, the iris recognition experience is enhanced, the face recognition used by users in actual use is not the iris recognition, and the market popularization is facilitated; more importantly, the iris recognition is safer, the cost performance of the iris recognition device used by the user is higher, and people can know the identity authentication method which is very convenient in the prior art of the iris recognition.
Drawings
Fig. 1 is a schematic diagram of an eye calibration procedure.
Fig. 2 is a schematic diagram of a face calibration flow.
Fig. 3 is a schematic diagram of a face and eye calibration procedure.
Fig. 4 is a schematic diagram of iris acquisition and recognition procedure.
Fig. 5 is a flowchart of an iris acquisition method according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of a module of an iris recognition device according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of a use flow of an iris recognition device according to an embodiment of the invention
Fig. 8 is a schematic diagram of an optical system design and an implementation effect diagram between a face and an iris of an iris recognition device according to an embodiment of the present invention.
Fig. 9 is a schematic diagram of a face display effect when the iris recognition device according to the embodiment of the invention is used.
Fig. 10 is a schematic diagram of iris display effect of the iris recognition device according to the embodiment of the invention when not in use.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
referring to fig. 1-4, the specific technical scheme includes the following steps:
1. iris image calibration
1.1, starting a calibration system, and lighting a first camera (starting the first camera), placing the first camera at a designated position of the calibration system, starting the calibration system, and lighting the first camera;
1.2, fixing an eye-sun image of a calibration plate at a near-distance position, acquiring the eye image of the calibration plate by a first camera, and calculating the relation between the size and the distance of eyes and the optical axis and the angle of view of the first camera according to the geometrical relation after finding out the position of the outline of the eyes on the image, so as to establish the parameters of an eye-sun three-dimensional coordinate system at the near-distance position;
1.3, moving an eye image of the calibration plate to a middle distance position, acquiring the eye image of the calibration plate again by the first camera, and calculating the relation between the size and the distance of the eye and the optical axis and the angle of view of the first camera according to the geometrical relation after finding the position of the eye outline on the image, so as to establish the parameters of an eye three-dimensional coordinate system at the middle distance;
1.4, moving an eye image of the calibration plate to a remote position, continuously acquiring the eye image of the calibration plate by the first camera, and calculating the relation between the size and the distance of the eye and the optical axis and the angle of view of the first camera according to the geometrical relation after finding the position of the outline of the eye on the image, so as to establish the parameters of an eye three-dimensional coordinate system at the remote position;
and 1.5, finally, carrying out association calculation on the three groups of parameters 1.1-1.3 and the standard iris recognition effective area parameters to obtain compensation parameters, and finally writing the compensation parameters into the camera system.
Specifically:
calculation formula of pupil calibration parameters:
according to the magnification formula:
where k is the magnification, H is the object height, and H is the image height.
According to the imaging principle formula:
where u is the object distance, v is the image distance, and f is the focal length of the camera.
For the same camera, f, k is fixed; h is fixed for the same pupil; therefore, a certain relation exists between the object distance u and the image height h:
u∝h
when we obtain the image height h of the pupil of one image from the camera, we can know the distance between the pupil and the camera (i.e. the object distance u);
while we obtain the image height h of the pupil of an image from the camera, we can also obtain the spatial coordinates (x, y, z) of the pupil center position in which the pupil center position is located, with respect to an arbitrary point in the image (usually the starting pixel point or center point of the camera) as the origin, where:
z=h×s, where s is a calibration coefficient. The calibration coefficients are pre-stored in the camera system by the calibration system. That is, in the calibration system, we first place the pupil calibration plate at a certain fixed distance d1 (the distance in 1.1) from the camera, we can obtain the image height h1 (the distance in 1.2) of the pupil at the distance, and similarly we can obtain the image height h2 of the pupil calibration plate corresponding to the certain fixed distance d2 from the camera, for a more accurate calibration system, we will generally increase a set of parameters, that is, place the pupil calibration plate at a certain fixed distance d3 (the distance in 1.3) from the camera and obtain the corresponding image height d3, so we can determine the calibration coefficient of the camera:
s∝[h1/d1，h2/d2，h3/d3]
similarly, the calibration parameters of the face outline can be obtained.
2. Calibration of face image
2.1, starting a second camera, placing the second camera at a designated position of a calibration system, starting the calibration system, and lighting the second camera, wherein the second camera detects a human face;
2.2 the face image of the calibration edition is fixed at a near-distance position, the second camera acquires the face image of the calibration edition, and the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera is calculated according to the geometrical relationship after the face contour is found out on the image, so that the three-dimensional coordinate system parameters of the face at the near-distance position are established;
2.3, moving the eye-sunny image of the calibration plate to a middle distance position, acquiring a face image on the calibration plate by a second camera, finding out the position of a face outline on the image, and then calculating the relation between the size and the distance of the face and the optical axis and the angle of view of the second camera according to the geometric relation, so as to establish the three-dimensional coordinate system parameters of the face at the middle distance;
2.4, moving the face image of the calibration plate to a remote position, and after the face image on the calibration plate is acquired by the second camera and the face contour is found out on the image, calculating the relation between the size and the distance of the face and the optical axis and the angle of view of the second camera according to the geometrical relation, so as to establish the three-dimensional coordinate system parameters of the face at the remote position; and finally, carrying out association calculation on the three groups of parameters and the standard face recognition effective area parameters to obtain compensation parameters, and finally writing the compensation parameters into the camera system.
3. The face and iris calibration method comprises the steps that a first camera and a second camera are placed at the appointed position of a calibration system at the same time, the calibration system is started, and the first camera and the second camera are lightened;
3.1 the first camera and the second camera obtain face images and iris images on the calibration plate at the same time, calculate the optical axis of the first camera and the optical axis of the second camera, then fix the face position and the iris image position on the calibration plate and the geometric relationship between the first camera position and the second camera position by calculating, specifically as follows: face contours and pupil contours are arranged on the same calibration plate at the same time, the face contours and pupil contours are confirmed according to standard parameters of proportional geometry of eyes and faces, such as position plane relation parameters between the two parameters (namely, the position plane relation parameters are confirmed by taking one or a selected point as a coordinate origin to establish coordinates), the relative positions of the two points are calculated through plane coordinates to calculate a result, then the parameters of the calibration plate and the actually calculated result are compared to judge whether the result is within an allowable error range or not, and the result is qualified, so that the two modules can fix the relative positions, and finally the relative fixed position parameters of the first camera and the second camera are written into the camera system;
4. the method comprises the steps that a first camera and a second camera which are calibrated are installed on an iris recognition device, the iris recognition device is communicated with an iris recognition system after being electrified, a video collected by the second camera is displayed on a display screen, when a face picture appears on the display screen, a face detection unit built in a processor of the iris recognition device calculates the position of a face, and according to the position, relative fixed position parameters are read out from a camera system, and then matching is carried out;
the matched parameters are the standard parameters of the three-dimensional coordinate system calibrated in the front and the error range parameters calculated through the calibration plate, and when the numerical value of the three-dimensional coordinate of the human face is calculated in real time, the real-time numerical value is compared with the reference parameters, and the position of the human face needs to be adjusted when the numerical value exceeds the allowable range until the human face appears in the allowable picture.
4.1 if the face position is detected to be in the range of the non-iris recognition area, the user can be prompted to move the face position to a proper position through voice, and the user can be prompted to move the face position to a proper position through a picture including but not limited to characters or/and graphics or/and colors on a display screen, or can be prompted to move the face position to a proper position through voice and a display screen picture.
4.2, when the face image appears above the display screen, reminding a user of needing squatting down through the display screen or the loudspeaker, so that the face of the user moves downwards to be within the iris recognition allowable range;
4.3, when the face image appears below the display screen, reminding a user of standing higher through the display screen or the loudspeaker, so that the face of the user moves to be within the iris recognition allowable range;
4.4, when the face image appears on the display screen in a larger size, reminding a user of needing to stand far through the display screen or the loudspeaker, so that the face of the user moves backwards to be within the iris recognition allowable range;
4.5 when the face image appears on the display screen in a smaller size, reminding the user to stand close to the display screen or the loudspeaker, so that the face of the user moves forward to be within the iris recognition allowable range.
4.6, once the face position is detected to enter the iris recognition area, the iris recognition device immediately stops prompting the face position to be no longer required to be adjusted and sending an instruction for starting iris recognition, and simultaneously starts the first camera and the infrared light supplementing lamp and acquires iris images;
the processor performs iris image preprocessing after receiving an iris image, wherein the iris image preprocessing comprises the steps of positioning the positions and the inner and outer edges of an iris in the iris image, detecting the part of an iris area, which is blocked by eyelids, eyelashes and highlight points, enhancing the normalized iris image and the iris image, obtaining the provenance of specific technical contents from a hundred-degree library search paper 'iris recognition method research under the condition of less matching of users', extracting iris characteristics and codes after the iris image preprocessing process is completed, comparing the iris characteristics and codes with prestored iris characteristic library information, and finally outputting an identity judgment result; the iris image can not appear on the display screen picture all the time in the iris recognition process.
5. The iris recognition device outputs the identity judgment result and can communicate with external equipment through a communication interface module, including but not limited to a relay interface, a wiegand interface, an Ethernet interface and the like to transmit data. This design may be applied to forbidden switch controls.
Referring to fig. 5, an iris image acquisition method includes the steps of:
s1, starting a second camera and displaying a field picture in real time;
s2, after the face appears on the mapping scene, prompting the user to move the face to a proper position;
s3, after the face position enters the iris recognition area, starting the first camera and the infrared light supplementing lamp to acquire an iris image;
s4, preprocessing the iris image, extracting iris characteristics, matching the iris characteristics with iris data in a database, and outputting an identity judgment result.
Referring to fig. 6, an iris recognition apparatus includes:
the processor 17 is used for receiving and analyzing the control signals and calculating parameters according to a preset program;
a first camera 11 for acquiring an iris image;
a second camera 12 for acquiring a face image;
an infrared light supplementing lamp 13 for supplementing light when the first camera 11 collects iris images;
a display screen 14 for displaying the image acquired by the second camera 12;
a memory 15 for storing data to be processed or being processed by the processor;
a flash memory 16 for storing data;
a communication interface module 18 for communication connection with an external device, comprising: relay 18b, ethernet fabric 18a, wiegand interface 18c.
The signal ends of the first camera, the second camera, the infrared light supplementing lamp, the display screen, the memory, the flash memory and the communication interface module are respectively in communication connection with the signal end of the processor.
Referring to fig. 7, when the iris recognition device is in use, the second camera captures video, and transmits the video in real time to the real-time picture processing unit 17a built in the processor 17 for processing, and then displays the video on the display screen 14; reference may be made specifically to existing self-help photo cameras.
When the real-time picture processing unit 17a processes or detects a human face according to a built-in program, the detection is mainly performed by a built-in human face detection unit 17 b;
the face detection unit 17b compares the detected face with face data in the face database 16a to find out information stored in advance in the face, and the face database 16a is stored in the flash memory 16;
after the face detection unit 17b matches the face from the face library, calling iris information corresponding to the face, starting the first camera 11 to collect iris images at the same time, and then transmitting the iris images to the iris recognition unit 17C, wherein the iris recognition unit is a program built in the processor 17 and is used for recognizing the iris information on the collected iris images and is jointly transmitted to the judging unit 17d built in the processor 17 together with the iris feature library 16b stored in the flash memory 16 for comparison; the iris information which is previously called after face recognition can be preferentially compared, if the comparison is passed, the identity confirmation information is output, otherwise, the identity confirmation failure information is output.
Referring to fig. 8, a mounting frame 1 is displayed on the display screen 14, a face 2 is displayed on the mounting frame 1, and the second row in fig. 8 is sequentially shown from the view to the right: too high a face image 2a, too low a face image 2b, too close a face image 2c, too far a face image 2d;
when the face image 2a is too high, the mounting frame displays that squatting is needed to be lower; the face image 2b is too low, and the installation frame displays that the station is higher; too close to the face image 2c, the installation frame shows that the person needs to stand far; too far a face image 2d, the installation frame shows that the person needs to stand near;
referring to fig. 9, a schematic diagram of the iris recognition device for acquiring the face image 21 to be recognized is shown, wherein the display screen 14 is fixed on the mounting frame 1, and the first camera 11, the second camera 12 and the infrared light supplement lamp 13 are mounted on the mounting frame 1 and above the display screen 14.
Referring to fig. 10, an iris recognition device is shown for capturing an iris image 22, and in actual use, the iris image 22 is not displayed on a display screen.
The present invention is not described in detail in the present application, and is well known to those skilled in the art.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (6)
1. The iris image acquisition method is characterized by comprising the following steps of:
s1, parameter calibration is carried out based on an iris image, parameter calibration is carried out based on a face image, parameter calibration is carried out based on the face image and the iris image, the calibrated first camera and second camera are installed on an iris recognition device, and the iris recognition device is communicated with an iris recognition system after being electrified; the iris recognition device outputs an identity judgment result, starts a second camera and displays a field picture in real time;
s2, after the face appears on the mapping scene, prompting the user to move the face to a proper position;
s3, after the face position enters the iris recognition area, starting the first camera and the infrared light supplementing lamp to acquire an iris image;
s4, preprocessing the iris image, extracting iris characteristics, matching the iris characteristics with iris data in a database, and outputting an identity judgment result;
the parameter calibration based on the face image comprises the following steps:
starting a second camera, placing the second camera at a designated position of a calibration system, starting the calibration system, lighting the second camera, and detecting a human face by the second camera;
the face image of the calibration plate is fixed at a near position, the second camera acquires the face image of the calibration plate, and the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera is calculated according to the geometric relationship after the face contour is found out at the position of the image, so that the three-dimensional coordinate system parameters of the face at the near position are established;
moving the face image of the calibration plate to a middle distance position, and after the face image on the calibration plate is acquired by the second camera and the position of the face outline on the image is found, calculating the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera according to the geometric relationship, so as to establish the three-dimensional coordinate system parameters of the face at the middle distance;
moving the face image of the calibration plate to a remote position, and the second camera acquires the face image of the calibration plate, and calculating the relationship between the size and the distance of the face and the optical axis and the angle of view of the second camera according to the geometric relationship after finding the position of the face outline on the image, so as to establish the three-dimensional coordinate system parameters of the face at the remote position; and finally, carrying out association calculation on the three groups of parameters and the standard face recognition effective area parameters to obtain compensation parameters, and finally writing the compensation parameters into the camera system.
2. The iris image acquisition method as claimed in claim 1, wherein the parameter calibration is performed based on the iris image, comprising the steps of:
starting a calibration system, lighting a first camera, placing the first camera at a designated position of the calibration system, starting the calibration system and lighting the first camera;
fixing an iris image of a calibration plate at a near-distance position, acquiring the iris image of the calibration plate by a first camera, and calculating the relationship between the size and the distance of the iris and the optical axis and the angle of view of the first camera according to the geometrical relationship after finding the position of the iris outline on the image, so as to establish the three-dimensional coordinate system parameters of the iris at the near-distance position;
moving the eye-sunny image of the calibration plate to a middle distance position, and acquiring the iris image of the calibration plate again by the first camera so as to establish the iris three-dimensional coordinate system parameters at the middle distance;
moving the eye-sunny image of the calibration plate to a remote position, continuously collecting the iris image of the calibration plate by the first camera, and calculating the relation between the size and the distance of the iris and the optical axis and the angle of view of the first camera according to the geometrical relation after finding the position of the iris outline on the image, so as to establish the three-dimensional coordinate system parameters of the iris at the remote position;
and obtaining compensation parameters by carrying out association calculation on three groups of parameters, namely, the iris three-dimensional coordinate system parameters at the near distance, the iris three-dimensional coordinate system parameters at the middle distance and the iris three-dimensional coordinate system parameters at the far distance, and the standard iris recognition effective area parameters, and finally writing the compensation parameters into the camera system.
3. The iris image acquisition method as claimed in claim 2, wherein parameters of an iris three-dimensional coordinate system at a remote place are established; the method specifically comprises the following steps:
the calculation formula of the calibration parameters of the iris:
according to the magnification formula:
wherein k is the magnification, H is the object height, and H is the image height;
according to the imaging principle formula:
where u is the object distance, v is the image distance, and f is the focal length of the camera;
for the same camera, f, k is fixed; h is fixed for the same iris; therefore, a certain relation exists between the object distance u and the image height h:
u∝h
when the image height h of the iris of an image is obtained from the camera, the object distance u can be known; meanwhile, a point in the image where the center position of the iris is located is selected as an origin with respect to the image, so that the spatial coordinates (x, y, z) of the center position of the iris can be obtained, wherein: z=h×s, where s is a calibration coefficient;
the calibration coefficients are pre-stored in the camera system by the calibration system.
4. The iris image acquisition method as claimed in claim 3, wherein the iris calibration plate is placed at a certain fixed distance d1 from the camera to obtain the image height h1 of the iris at the fixed distance;
similarly, the image height h2 of the iris calibration plate corresponding to a certain fixed distance d2 of the camera can be obtained;
the iris calibration plate can be placed at a certain fixed distance d3 from the camera, and the corresponding image height d3 is obtained, so that the calibration coefficient of the camera can be determined:
s∝[h1/d1，h2/d2，h3/d3]。
5. the iris image acquisition method as claimed in claim 1, wherein the parameter calibration is performed based on the face image and the iris image, comprising the steps of: the first camera and the second camera are simultaneously placed at the appointed position of the calibration system, the calibration system is started, and the first camera and the second camera are lightened;
the first camera and the second camera simultaneously obtain face images and iris images on the calibration plate, an optical axis of the first camera and an optical axis of the second camera are calculated, and then parameters of the relative fixed positions of the first camera and the second camera are written into the camera system after geometrical relations between the face positions and the iris image positions on the calibration plate and the first camera positions and the second camera positions are calculated.
6. The iris image capturing method of claim 1, wherein the calibrated first camera and second camera are mounted to an iris recognition device, the iris recognition device communicating with an iris recognition system after being energized, comprising the steps of:
displaying the video acquired by the second camera on a display screen, calculating the position of a human face by a human face detection unit arranged in a processor of the iris recognition device after detecting that the human face picture appears on the display screen, reading out relatively fixed position parameters from a camera system according to the position, and then matching;
if the face position is detected to be in the range of the non-iris recognition area, prompting the user to move the face position to a proper position through voice, prompting the user to move the face position to a proper position through a picture including but not limited to characters or/and graphics or/and colors on a display screen, and prompting the user to move the face position to a proper position through voice and a display screen picture;
when the face image appears above the display screen, reminding a user of needing to squat down through the display screen or the loudspeaker, so that the face of the user moves downwards to be within the allowable range of iris recognition;
when the face image appears below the display screen, reminding a user of standing higher through the display screen or the loudspeaker, so that the face of the user moves to the allowable range of iris recognition;
when the face image appears on the display screen in a larger scale, reminding a user to stand far through the display screen or the loudspeaker, so that the face of the user moves backwards to be within the iris recognition allowable range;
when the face image appears on the display screen in a smaller size, reminding a user to stand close to the display screen or the loudspeaker, so that the face of the user moves forward to be within the iris recognition allowable range;
once the face position is detected to enter the iris recognition area, the iris recognition device immediately stops prompting the face position to be no longer required to be adjusted and sends out an instruction for starting iris recognition, and simultaneously starts the first camera and the infrared light supplementing lamp and acquires iris images;
the processor performs iris image preprocessing after receiving the iris image, extracts iris features and codes, compares the iris features and codes with prestored iris feature library information, and finally outputs an identity judgment result; the iris image can not appear on the display screen picture all the time in the iris recognition process.
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| CN110472535A (en) * | 2019-07-31 | 2019-11-19 | 苏州思源科安信息技术有限公司 | A kind of Mine-used I. S iris identification equipment |
| CN110889331B (en) * | 2019-10-30 | 2022-07-01 | 中科南京人工智能创新研究院 | Camera based on iris recognition and recognition method |
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