WO2010010203A1 - Reconocimiento biométrico mediante estudio del mapa de superficie del segundo dioptrio ocular - Google Patents
Reconocimiento biométrico mediante estudio del mapa de superficie del segundo dioptrio ocular Download PDFInfo
- Publication number
- WO2010010203A1 WO2010010203A1 PCT/ES2009/000145 ES2009000145W WO2010010203A1 WO 2010010203 A1 WO2010010203 A1 WO 2010010203A1 ES 2009000145 W ES2009000145 W ES 2009000145W WO 2010010203 A1 WO2010010203 A1 WO 2010010203A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- ocular
- biometric recognition
- individual
- cornea
- irregularities
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/117—Identification of persons
- A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/107—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining the shape or measuring the curvature of the cornea
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/117—Identification of persons
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/1005—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring distances inside the eye, e.g. thickness of the cornea
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/103—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining refraction, e.g. refractometers, skiascopes
Definitions
- the invention is part of the biometrics sector, in its applications for the security and recognition of people.
- the invention particularly relates to a method and apparatus for biometric recognition through the second ocular diopter.
- the object of the invention is a method and its corresponding device for the recognition of persons that incorporates, as an exclusive and determining biometric constant for each individual, the irregularities of the map of the posterior surface of the cornea, which are different in each individual.
- biometrics The types of recognition of people called biometrics are based on the physical characteristics of the user to be identified. Although the authentication of users by means of biometric methods is possible using any unique and measurable characteristic of the individual, it has traditionally been based on six large groups: eye-iris, eye-retina, fingerprints, hand geometry, writing-signature and voice.
- Biometric authentication models based on ocular patterns are divided into two different technologies: either they analyze retinal patterns, or they analyze the morphological characteristics of the iris.
- the iris is the most visible part of the human eye. It is a complex pattern that contains many distinctive aspects such as wrinkles, arcuate ligaments, ridges or rings.
- the iris image can be taken from a reasonable distance (1 m) with a high level of accuracy. This requires a camera with a minimum resolution of 70 pixels. Although the level of accuracy of the image is high and the processing time is very large, it is difficult to obtain if the person does not stay close to the camera or is not interested in their identification.
- medical processes can alter the color somewhat (although the texture remains stable for decades), the iris is moist because of what it can reflect, it can be covered and can be manipulated by contact lenses and undergoes changes in size by dilatation of the pupil .
- the retina scanner is a biometric technique that uses the patterns of the retina to identify a person. Authentication through the retina can be done through the initial registration of the vascular structure of the retina (shape of the blood vessels of the human retina) that has characteristic elements of each individual and differential from the rest of the population.
- the user to be identified must look through an eye device, adjust the distance and movement of the head, look at the determined fixing point and, finally, press a button to indicate to the device that it is ready for analysis.
- To obtain valid records wait five minutes for mydriasis, or necessary retinal dilation in the entrance systems by the pupil or use mydriatic drugs.
- the retina is scanned with a low intensity infrared radiation in the form of a spiral, detecting in an image the nodes and branches of the area of the retina to compare them with those stored in a database; if the sample coincides with the one stored for the user that the individual claims to be, authentication is validated.
- Document US2006 / 0210122 describes a method and a system based on the topography of the surface of the eyeball (both of the outer face of the cornea and the sclera) for identification of a user, is based on detecting changes of the previous surface measuring the reflection it produces versus the reflection that would produce an ideal sphere. This parameter is also manipulable, for example, with the use of contact lenses.
- PENTACAM ® Oculus
- ORBSCAN II ® Bousch & Lomb Inc.
- the present invention provides a method and a biometric recognition system based on the analysis of the irregularities of the map of the surface of the second ocular diopter with respect to a normalized surface, which has as its main advantage the impossibility of manipulation of said map (since it is inside the eye), neither by an external individual nor by the person to recognize.
- the method is also not invasive, it is fast, it is cheap, it is easy to use and it is based on a constant that, in addition to not being manipulable, is easy to register and relatively stable over time despite possible diseases and surgeries.
- the invention is based on taking an image exclusively of the second ocular diopter in order to determine the irregularities of its surface map with respect to a normalized surface (sphere, ellipsoid, bull, etc.) and quantify them, resulting in a set of characteristic features of each person that can be used as an authentication system, that is, using the variations and calculations made with them as biometric minutiae.
- the image is proven safe in that it can be taken without any contraindication and as many times as necessary.
- the objective of the invention is a method and a device for recognizing people that incorporates as irregular biometric the irregularities of the surface map of the second ocular diopter.
- the corresponding radius of curvature has been measured through Purkinje images.
- the asphericity of the posterior surface can be determined by combining a videokeratoscope and a pachymeter, which leads to an inaccurate measurement and time consumption.
- Sheimpflug allows registering the anterior and posterior surfaces of the cornea as well as its thickness in a single step by means of a real photograph of this medium since it is transparent.
- the Scheimpflug principle is a geometric rule that describes the orientation of the focus plane of an optical system when the lens plane is not parallel to the image plane.
- the recognition of the person is carried out through the capture of a real-time image of the second ocular diopter.
- the system contains a Scheimpflug rotating camera that records an accurate three-dimensional image of the cornea. From it, the maps of the first and second diopters of the ocular optical system are generated through a true elevation map ( Figure 2).
- the photograph obtained with the Scheimpflug camera is corrected mathematically considering the optical effect of the first diopter on the image of the second diopter photographed before proceeding to the analysis of the surface map of the second diopter (Dubbelman & Van der Heide, 2001, Vision Research, 41 and Dubbelman & Van der Heide, 2005, Vision Research, 45).
- the biometric constant object of this invention (the irregularities of the surface map of the second ocular diopter) can be combined with other ocular parameters such as corneal radii or power dioptric Similarly, it can be combined with any other biometric constant based on the iris or the retina.
- the Io system requires, with a single photograph that does not require contact with the eye or pupil dilation, which is performed in a few seconds and that does not use harmful radiation, several biometric constants that complement the irregularities of the second diopter can be determined, increasing the precision of the method.
- Figure 1 shows different arrangements of the image (1), lens (2) and object (3) planes. In case (a) the three planes are parallel: in (b) the object plane is not parallel to the image and lens planes, there being a focused area (4) and a depth of field (5); in case (c) the planes have a common intersection point (6).
- Figure 2 shows a color map representing the surface of the second ocular diopter.
- Figure 3 shows a scheme of the measurement of the irregularities of the surface of the second ocular diopter.
- the surface of the second ocular diopter is compared with a normalized surface (2) determining the irregularities in the surface of the second dipotry to be quantified for each individual (3).
- an image of the user's cornea is taken through a conventional Scheimpflug camera coupled to the information processing device.
- the system transforms the biometric minutiae, previously selected, of each individual into an encrypted code through a specific computer application.
- the encrypted code is sent via satellite, cable or other means to the instrument or place that requires the password to proceed to the authentication or identification of the person. It is compared with the pre-established database to immediately proceed to the access authorization or at the beginning of
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Public Health (AREA)
- Pathology (AREA)
- Ophthalmology & Optometry (AREA)
- Human Computer Interaction (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Abstract
Description
Claims
Priority Applications (9)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US12/811,502 US20110058712A1 (en) | 2008-07-24 | 2009-03-13 | Biometric recognition through examination of the surface map of the second ocular dioptric |
| ES09800082.1T ES2524267T3 (es) | 2008-07-24 | 2009-03-13 | Reconocimiento biométrico mediante estudio del mapa de superficie del segundo dioptrio ocular |
| MX2011000802A MX2011000802A (es) | 2008-07-24 | 2009-03-13 | Reconocimiento biometrico mediante estudio del mapa de superficie del segundo dioptrio ocular. |
| EA201100209A EA201100209A1 (ru) | 2008-07-24 | 2009-03-13 | Способ и устройство биометрического установления личности |
| CN2009801332213A CN102131454A (zh) | 2008-07-24 | 2009-03-13 | 通过检查第二眼部屈光的表面地图的生物测量识别 |
| JP2011519197A JP5502081B2 (ja) | 2008-07-24 | 2009-03-13 | 目の第二屈折の表面マップを検査することによる生体認証 |
| EP09800082.1A EP2319392B1 (en) | 2008-07-24 | 2009-03-13 | Biometric recognition through examination of the surface map of the posterior surface of the cornea |
| CA2731386A CA2731386A1 (en) | 2008-07-24 | 2009-03-13 | Biometric recognition through examination of the surface map of the second ocular dioptric |
| BRPI0911741A BRPI0911741A2 (pt) | 2008-07-24 | 2009-03-13 | método de reconhecimento biométrico, dispositivo de reconhecimento biométrico e uso de um dispositivo de reconhecimento biométrico |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ESP200802215 | 2008-07-24 | ||
| ES200802215A ES2337866B2 (es) | 2008-07-24 | 2008-07-24 | Reconocimiento biometrico mediante estudio del mapa de superficie delsegundo dioptrio ocular. |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2010010203A1 true WO2010010203A1 (es) | 2010-01-28 |
Family
ID=41570045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/ES2009/000145 Ceased WO2010010203A1 (es) | 2008-07-24 | 2009-03-13 | Reconocimiento biométrico mediante estudio del mapa de superficie del segundo dioptrio ocular |
Country Status (10)
| Country | Link |
|---|---|
| US (1) | US20110058712A1 (es) |
| EP (1) | EP2319392B1 (es) |
| JP (1) | JP5502081B2 (es) |
| CN (1) | CN102131454A (es) |
| BR (1) | BRPI0911741A2 (es) |
| CA (1) | CA2731386A1 (es) |
| EA (1) | EA201100209A1 (es) |
| ES (2) | ES2337866B2 (es) |
| MX (1) | MX2011000802A (es) |
| WO (1) | WO2010010203A1 (es) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8369595B1 (en) | 2012-08-10 | 2013-02-05 | EyeVerify LLC | Texture features for biometric authentication |
| US8437513B1 (en) | 2012-08-10 | 2013-05-07 | EyeVerify LLC | Spoof detection for biometric authentication |
| US8483450B1 (en) | 2012-08-10 | 2013-07-09 | EyeVerify LLC | Quality metrics for biometric authentication |
| US8965066B1 (en) | 2013-09-16 | 2015-02-24 | Eye Verify LLC | Biometric template security and key generation |
| US9390327B2 (en) | 2013-09-16 | 2016-07-12 | Eyeverify, Llc | Feature extraction and matching for biometric authentication |
| EP3281138A4 (en) * | 2015-04-08 | 2018-11-21 | Wavefront Biometric Technologies Pty Limited | Multi-biometric authentication |
| US20160342835A1 (en) * | 2015-05-20 | 2016-11-24 | Magic Leap, Inc. | Tilt shift iris imaging |
| PH12018500541B1 (en) | 2015-09-11 | 2024-04-12 | Jumio Corp | Method and system for determining a quality metric in biometric authentication |
| CN105411521A (zh) * | 2015-12-07 | 2016-03-23 | 温州医科大学眼视光器械有限公司 | 一种晶状体图像检测装置 |
| US10733275B1 (en) * | 2016-04-01 | 2020-08-04 | Massachusetts Mutual Life Insurance Company | Access control through head imaging and biometric authentication |
| US10956544B1 (en) | 2016-04-01 | 2021-03-23 | Massachusetts Mutual Life Insurance Company | Access control through head imaging and biometric authentication |
| ES2662912B2 (es) * | 2018-01-24 | 2019-09-13 | Univ Madrid Complutense | Método y aparato para el reconocimiento biométrico corneal |
| DE102019126419A1 (de) * | 2019-05-08 | 2020-11-12 | Docter Optics Se | Vorrichtung zum optischen Abbilden von Merkmalen einer Hand |
Citations (13)
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|---|---|---|---|---|
| US4109237A (en) | 1977-01-17 | 1978-08-22 | Hill Robert B | Apparatus and method for identifying individuals through their retinal vasculature patterns |
| GB1599015A (en) | 1977-04-15 | 1981-09-30 | Zeiss Stiftung | Optical system for forming an image of the retina |
| US4487322A (en) | 1982-09-27 | 1984-12-11 | Owens-Illinois, Inc. | Method for inspecting glass containers |
| US20010022850A1 (en) | 2000-03-16 | 2001-09-20 | Yunsik Yang | Three dimensional real-time image apparatus of ocular retina |
| WO2002075639A1 (en) | 2000-11-02 | 2002-09-26 | Retinal Technologies, Llc | System for capturing an image of the retina for identification |
| KR20030034258A (ko) | 2001-08-04 | 2003-05-09 | 주식회사 큐리텍 | 홍채와 망막을 이용한 신원 확인시스템과 방법 및 그방법에 대한 컴퓨터 프로그램 소스를 저장한 기록매체 |
| US20040233038A1 (en) | 2001-07-10 | 2004-11-25 | American Express Travel Related Services Company, Inc. | Method and system for retinal scan recognition biometrics on a fob |
| WO2006034527A1 (en) * | 2004-09-29 | 2006-04-06 | Positive Eye-D Ltd | Corneal biometry |
| WO2006073781A2 (en) | 2005-01-03 | 2006-07-13 | Retica Systems, Inc. | Method and system for automatically capturing an image of a retina |
| US20060210122A1 (en) | 2005-03-16 | 2006-09-21 | Dixon Cleveland | System and method for eyeball surface topography as a biometric discriminator |
| WO2007023946A1 (ja) | 2005-08-26 | 2007-03-01 | Brother Kogyo Kabushiki Kaisha | 光走査装置、画像表示装置及び網膜走査型画像表示装置 |
| WO2007104166A1 (en) * | 2006-03-16 | 2007-09-20 | Sis Ag, Surgical Instrument Systems | Ophthalmological device and ophthalmological measuring method |
| US20070236664A1 (en) * | 2006-04-11 | 2007-10-11 | Gert Koest | Refractometer for determining the refraction properties of an eye |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US6665426B1 (en) * | 2002-01-29 | 2003-12-16 | West Virginia University Research Corporation | Method of biometric identification of an individual and associated apparatus |
| ATE442078T1 (de) * | 2004-09-29 | 2009-09-15 | Positive Eye D Ltd | Hornhautbiometrie |
| EP2242418B1 (en) * | 2007-12-21 | 2011-08-03 | SIFI MEDTECH S.r.l. | Dual scheimpflug system for three- dimensional analysis of an eye |
-
2008
- 2008-07-24 ES ES200802215A patent/ES2337866B2/es active Active
-
2009
- 2009-03-13 US US12/811,502 patent/US20110058712A1/en not_active Abandoned
- 2009-03-13 MX MX2011000802A patent/MX2011000802A/es active IP Right Grant
- 2009-03-13 BR BRPI0911741A patent/BRPI0911741A2/pt not_active IP Right Cessation
- 2009-03-13 CN CN2009801332213A patent/CN102131454A/zh active Pending
- 2009-03-13 EA EA201100209A patent/EA201100209A1/ru unknown
- 2009-03-13 CA CA2731386A patent/CA2731386A1/en not_active Abandoned
- 2009-03-13 EP EP09800082.1A patent/EP2319392B1/en active Active
- 2009-03-13 JP JP2011519197A patent/JP5502081B2/ja not_active Expired - Fee Related
- 2009-03-13 ES ES09800082.1T patent/ES2524267T3/es active Active
- 2009-03-13 WO PCT/ES2009/000145 patent/WO2010010203A1/es not_active Ceased
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US4109237A (en) | 1977-01-17 | 1978-08-22 | Hill Robert B | Apparatus and method for identifying individuals through their retinal vasculature patterns |
| GB1599015A (en) | 1977-04-15 | 1981-09-30 | Zeiss Stiftung | Optical system for forming an image of the retina |
| US4487322A (en) | 1982-09-27 | 1984-12-11 | Owens-Illinois, Inc. | Method for inspecting glass containers |
| US20010022850A1 (en) | 2000-03-16 | 2001-09-20 | Yunsik Yang | Three dimensional real-time image apparatus of ocular retina |
| WO2002075639A1 (en) | 2000-11-02 | 2002-09-26 | Retinal Technologies, Llc | System for capturing an image of the retina for identification |
| US20040233038A1 (en) | 2001-07-10 | 2004-11-25 | American Express Travel Related Services Company, Inc. | Method and system for retinal scan recognition biometrics on a fob |
| KR20030034258A (ko) | 2001-08-04 | 2003-05-09 | 주식회사 큐리텍 | 홍채와 망막을 이용한 신원 확인시스템과 방법 및 그방법에 대한 컴퓨터 프로그램 소스를 저장한 기록매체 |
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| WO2006073781A2 (en) | 2005-01-03 | 2006-07-13 | Retica Systems, Inc. | Method and system for automatically capturing an image of a retina |
| US20060210122A1 (en) | 2005-03-16 | 2006-09-21 | Dixon Cleveland | System and method for eyeball surface topography as a biometric discriminator |
| WO2007023946A1 (ja) | 2005-08-26 | 2007-03-01 | Brother Kogyo Kabushiki Kaisha | 光走査装置、画像表示装置及び網膜走査型画像表示装置 |
| WO2007104166A1 (en) * | 2006-03-16 | 2007-09-20 | Sis Ag, Surgical Instrument Systems | Ophthalmological device and ophthalmological measuring method |
| US20070236664A1 (en) * | 2006-04-11 | 2007-10-11 | Gert Koest | Refractometer for determining the refraction properties of an eye |
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| See also references of EP2319392A4 |
Also Published As
| Publication number | Publication date |
|---|---|
| EP2319392A4 (en) | 2013-07-31 |
| ES2524267T3 (es) | 2014-12-04 |
| MX2011000802A (es) | 2011-06-06 |
| ES2337866A1 (es) | 2010-04-29 |
| EP2319392A1 (en) | 2011-05-11 |
| ES2337866B2 (es) | 2011-02-14 |
| JP2011528832A (ja) | 2011-11-24 |
| CN102131454A (zh) | 2011-07-20 |
| BRPI0911741A2 (pt) | 2016-08-09 |
| US20110058712A1 (en) | 2011-03-10 |
| CA2731386A1 (en) | 2010-01-28 |
| EP2319392B1 (en) | 2014-08-27 |
| JP5502081B2 (ja) | 2014-05-28 |
| EA201100209A1 (ru) | 2011-06-30 |
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