CN105893994A - Face recognition system - Google Patents
Face recognition system Download PDFInfo
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- CN105893994A CN105893994A CN201610475097.0A CN201610475097A CN105893994A CN 105893994 A CN105893994 A CN 105893994A CN 201610475097 A CN201610475097 A CN 201610475097A CN 105893994 A CN105893994 A CN 105893994A
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- 238000007781 pre-processing Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims description 14
- 238000002372 labelling Methods 0.000 claims description 6
- 210000000056 organ Anatomy 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004148 unit process Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a face recognition system. The face recognition system comprises a fixing unit, a collecting unit, an image preprocessing unit, an image processing unit, a matching unit and an analyzing unit, wherein the fixing unit is used for fixing the head of a user; the collecting unit is used for collecting face images of the user fixed in the fixing unit; the image preprocessing unit is used for preprocessing the face images collected by the collecting unit; the image processing unit is used for processing images preprocessed by the image preprocessing unit, so as to obatin corresponding image information; the matching unit is used for matching the image information with image information in a system database, so as to obtain matching results; and the analyzing unit is used for analyzing the matching results, so as to obtain recognition results. The face recognition system effectively solves a technical problem that recognition accuracy is lower in the existing face recognition system, and further achieves a technical effect of accurately performing face recognition.
Description
Technical field
The invention belongs to face detection field, relate to a kind of face identification system, specifically relate to
And a kind of face identification system that can accurately carry out recognition of face.
Background technology
Recognition of face, refers in particular to utilize com-parison and analysis face visual signature information to carry out identity discriminating
Computer technology.The actual a series of phases including building face identification system of the recognition of face of broad sense
Pass technology, including man face image acquiring, Face detection, recognition of face pretreatment, identity validation
And identity finder etc..And the recognition of face of narrow sense refer in particular to by face carry out identity validation or
The technology of identity finder or system.
The application of recognition of face mainly has: 1, police criminal detection is solved a case, i.e. by inquiry target
Human face data finds in data base whether there is emphasis population essential information, such as at airport or car
Stand installation system to arrest fugitive criminal.2, gate control system, i.e. by the area of safeguard protection
Can be by the identity of the recognition of face identification person of seeking entry into.3, shooting and monitoring system, such as
On airport, crowd monitors, to reach identity by stadium, the public place such as supermarket
The purpose identified, such as, installs monitoring system to prevent terrorist's boarding on airport.4、
Network application, i.e. utilize recognition of face ancillary credit card network payment, to prevent the non-credit card
Owner use the credit card etc..
Although face recognition technology is applied quite varied, but, in the prior art, existing
Generally there is the technical problem that recognition accuracy is relatively low in face identification system.So, it is caused to make
It is substantially reduced by value.
In view of the above-mentioned technological deficiency of prior art, in the urgent need to developing a kind of recognition accuracy relatively
High face identification system.
Summary of the invention
It is an object of the invention to overcome shortcoming present in prior art, it is provided that a kind of face is known
Other system, this face identification system efficiently solves the identification standard that existing face identification system exists
The technical problem that really rate is relatively low, and then achieve the technique effect accurately carrying out recognition of face.
To achieve these goals, the present invention provides following technical scheme: a kind of recognition of face system
System, it is characterised in that described system includes:
Fixed cell, described fixed cell is used for fixing user's head；
Collecting unit, described collecting unit is fixed on the user in described fixed cell for gathering
Face image；
Image pre-processing unit, described image pre-processing unit is for gathering described collecting unit
Face image carry out pretreatment；
Graphics processing unit, described graphics processing unit is for pre-to described image pre-processing unit
Image after process processes, to obtain corresponding image information；
Matching unit, described matching unit is for by described image information and system database
Image information is mated, to obtain matching result；
Analytic unit, described analytic unit is used for being analyzed processing based on described matching result,
Obtain recognition result.
Further, wherein, the face image gathered described collecting unit carries out pretreatment tool
Body includes: the stain in face image and white point are rejected, clear to be adjusted by face image.
Further, wherein, pretreated image is carried out process to include: by pretreatment
After image be marked, the center that point is each organ of face of labelling；Based on labelling
Point carries out information gathering to each organ of face；The information collected is processed, generates figure
As information.
Yet further, wherein, described image information includes but not limited to: human face size,
Human face color and human face local feature.
The most further, wherein, described system also includes print unit, described print unit
For described recognition result is printed.
Compared with existing face identification system, the face identification system of the present invention has and has as follows
Benefit technique effect: it has carried out pretreatment to the image gathered, processed, mate and analyze, and carries
The high accuracy rate identified, so, efficiently solve the knowledge that existing face identification system exists
The technical problem that other accuracy rate is relatively low, and then achieve the technology effect accurately carrying out recognition of face
Really.
Accompanying drawing explanation
Fig. 1 is the composition schematic diagram of the face identification system of the present invention.
Detailed description of the invention
The present invention is further described with embodiment below in conjunction with the accompanying drawings, and the content of embodiment is not made
For the restriction to protection scope of the present invention.
Fig. 1 shows the composition schematic diagram of the face identification system of the present invention.As it is shown in figure 1, this
The face identification system of invention includes fixed cell, collecting unit, image pre-processing unit, figure
As processing unit, matching unit and analytic unit.
Wherein, described fixed cell is used for fixing user's head.By fixing user's head, energy
Enough prevent the rotation of user's head, consequently facilitating gather the face image of user.In the present invention,
Described fixed cell can be fixed helmet etc..
Described collecting unit is for gathering face's figure of the user being fixed in described fixed cell
Picture.In the present invention, described collecting unit can time high definition camera, image first-class various image
Collecting device.Preferably, described acquisition units is high-definition image collecting unit, to obtain high definition
The facial image of clear degree, thus improve the accuracy of recognition of face.
Described image pre-processing unit is carried out for the face image gathering described collecting unit
Pretreatment.Pretreatment by described image pre-processing unit, it is possible to obtain apparent image.
In the present invention, described image pre-processing unit can use and can gather described collecting unit
Face image carry out any preconditioning technique of pretreatment.Preferably, described Image semantic classification
The preconditioning technique that unit uses is to reject, the stain in face image and white point with by face
Image Adjusting is clear.
Described graphics processing unit is used for image pretreated to described image pre-processing unit
Process, to obtain corresponding image information.In the present invention, described graphics processing unit
The image processing techniques used includes: first, be marked by pretreated image, labelling
The center that point is each organ of face；Secondly, based on labelling point to each organ of face
Carry out information gathering；Finally, the information collected is processed, generate image information.Adopt
Use this image processing techniques, it is possible to obtain the key images information of face, consequently facilitating carry out
Recognition of face.
Additionally, in the present invention, described image information includes but not limited to: human face size,
Human face color and human face local feature.Use these image informations, contribute to correct
Realize the identification of face.
Described matching unit is for by described image information and the image information in system database
Mate, to obtain matching result.In described system database, storage has multiple facial image
Information.By described matching unit, by the human face image information collected and system database
The human face image information of storage is mated, the human face image information aiding in determining whether to collect
Identity, consequently facilitating realize the identification of people.
Described analytic unit is for being analyzed processing based on described matching result, it is thus achieved that identify knot
Really.By described analytic unit, can further matching result be identified, to make up
State the matching error that matching unit is likely to occur, thus be more conducive to improve the accuracy identified.
Finally, in the present invention, it is preferred to, described system also includes print unit, described beats
Impression unit is for printing described recognition result.So, it is simple to the biography of described recognition result
Broadcast and use.
The face identification system of the present invention has carried out pretreatment to the image gathered, has processed, mates
And analysis, improve the accuracy rate of identification, so, efficiently solve existing recognition of face system
The relatively low technical problem of recognition accuracy that system exists, and then achieve and accurately carry out recognition of face
Technique effect.
The above embodiment of the present invention is only for clearly demonstrating example of the present invention, and
It it is not the restriction to embodiments of the present invention.Those of ordinary skill in the field are come
Say, can also make other changes in different forms on the basis of the above description.This
In cannot all of embodiment be given exhaustive.Every technical scheme that belongs to is drawn
That stretches out obviously changes or changes the row still in protection scope of the present invention.
Claims (5)
1. a face identification system, it is characterised in that described system includes:
Fixed cell, described fixed cell is used for fixing user's head；
Collecting unit, described collecting unit is fixed on the user in described fixed cell for gathering
Face image；
Image pre-processing unit, described image pre-processing unit is for gathering described collecting unit
Face image carry out pretreatment；
Graphics processing unit, described graphics processing unit is for pre-to described image pre-processing unit
Image after process processes, to obtain corresponding image information；
Matching unit, described matching unit is for by described image information and system database
Image information is mated, to obtain matching result；
Analytic unit, described analytic unit is used for being analyzed processing based on described matching result,
Obtain recognition result.
Face identification system the most according to claim 1, it is characterised in that gather list to described
The face image that unit gathers carries out pretreatment and specifically includes: by the stain in face image and white point
Reject, clear so that face image is adjusted.
Face identification system the most according to claim 2, it is characterised in that to pretreated
Image carries out process and includes: be marked by pretreated image, and the point of labelling is that face is each
The center of individual organ；Based on labelling point, each organ of face is carried out information gathering；To adopt
Collect to information process, generate image information.
4. according to the face identification system described in claim/3, it is characterised in that described image is believed
Breath includes but not limited to: human face size, human face color and human face local feature.
Face identification system the most according to claim 4, it is characterised in that described system is also wrapped
Including print unit, described print unit is for printing described recognition result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610475097.0A CN105893994A (en) | 2016-06-23 | 2016-06-23 | Face recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610475097.0A CN105893994A (en) | 2016-06-23 | 2016-06-23 | Face recognition system |
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| Publication Number | Publication Date |
|---|---|
| CN105893994A true CN105893994A (en) | 2016-08-24 |
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ID=56719065
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610475097.0A Pending CN105893994A (en) | 2016-06-23 | 2016-06-23 | Face recognition system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463924A (en) * | 2017-08-31 | 2017-12-12 | 江苏青诚信息科技有限公司 | A kind of face identification system |
| CN109902661A (en) * | 2019-03-18 | 2019-06-18 | 北京联诚智胜信息技术股份有限公司 | Intelligent identification Method based on video, picture |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103258191A (en) * | 2013-05-15 | 2013-08-21 | 苏州福丰科技有限公司 | Community access control system based on face recognition |
| CN104182721A (en) * | 2013-05-22 | 2014-12-03 | 华硕电脑股份有限公司 | Image processing system and image processing method for improving face recognition rate |
| CN104951777A (en) * | 2015-07-17 | 2015-09-30 | 成都汉康信息产业有限公司 | Face recognition system |
-
2016
- 2016-06-23 CN CN201610475097.0A patent/CN105893994A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103258191A (en) * | 2013-05-15 | 2013-08-21 | 苏州福丰科技有限公司 | Community access control system based on face recognition |
| CN104182721A (en) * | 2013-05-22 | 2014-12-03 | 华硕电脑股份有限公司 | Image processing system and image processing method for improving face recognition rate |
| CN104951777A (en) * | 2015-07-17 | 2015-09-30 | 成都汉康信息产业有限公司 | Face recognition system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463924A (en) * | 2017-08-31 | 2017-12-12 | 江苏青诚信息科技有限公司 | A kind of face identification system |
| CN109902661A (en) * | 2019-03-18 | 2019-06-18 | 北京联诚智胜信息技术股份有限公司 | Intelligent identification Method based on video, picture |
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