CN208351492U - A kind of accurate people face identifying system - Google Patents
A kind of accurate people face identifying system Download PDFInfo
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- CN208351492U CN208351492U CN201820198728.3U CN201820198728U CN208351492U CN 208351492 U CN208351492 U CN 208351492U CN 201820198728 U CN201820198728 U CN 201820198728U CN 208351492 U CN208351492 U CN 208351492U
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Abstract
The utility model belongs to area of face recognition technology, more particularly to a kind of novel accurate people face identifying system.Including high-definition camera, infrared human body inductor, secondary light source, control chip, Gabor filter, image normalizer, arm processor, database and display device；Facial expressions and acts identify that specific filtration resistance identifies that cache module identifies that specific filtration resistance identifies the setting of cache module so as to the information by a series of expression of identity validations of people or movement as identity validation dsp processor and facial expressions and acts by facial expressions and acts to facial expressions and acts are also connected on dsp processor, to prevent accurate people face identifying system from brushing for being stolen when paying by people, and it can easily solve the problems, such as twinborn face recognition.
Description
Technical field
The utility model belongs to area of face recognition technology, more particularly to a kind of novel accurate people face identifying system.
Background technique
It is existing in the art, biometrics identification technology is listed in 21 century and brings revolutionary ten influenced to human society
One of big technology.Biometrics identification technology is presently the most the identity recognizing technology of convenient safety, biometrics identification technology
It is to carry out identification using the physiological characteristic and behavioural characteristic of people, mainly there is fingerprint recognition, recognition of face, iris recognition etc..
Wherein, recognition of face is a big hot spot in current biological feature identification field.It and the fingerprint identification technology being widely used at present
It compares, there is the significant features such as compare intuitive, convenience, untouchable, user's acceptance is high.And infrared induction technology also by
21 century is classified as on one of the ten big technologies for bringing revolutionary influence on human society, in portable electronic, the networking telephone, display
Device, multimedia messages station, vending machine, interactive toy, clockwork radio and the fields such as other consumer and industrial products
In, many electronic systems are benefited from contactless feedback.
Facial-recognition security systems in the prior art, because the image grayscale identified is excessively concentrated, therefore the quality of image is non-
Often poor, even there is smudgy phenomenon in some；In addition identification technology now, cannot carry out being detected people by algorithm be
Not no voluntarily to carry out identification activity, including be detected people and kidnapping, bandit robs by force, takes into custody, coerces through gate etc. not voluntarily
Participate in identification behavior the case where, that is to say, that people face in the prior art identifying system be using the image information feature of face as
Feature is compared to complete identification, however because face is exposed outside, it is easy to it is stolen and brushes by criminal's malice, to influence to make
With safety；In addition current face identification system also cannot achieve to twinborn recognition of face, fine there is presently no occurring
Method solve these technological deficiencies.
Utility model content
The utility model provides a kind of novel accurate people face identifying system, solves recognition of face in the prior art
System is easy the technical issues of allowing face maliciously to be stolen brush, and be unable to complete to twinborn recognition of face.
Specific technical solution is that the accurate people face identifying system includes high-definition camera, infrared human body inductor, auxiliary
Light source, control chip, Gabor filter, image normalizer, arm processor, database and display device；Control chip one end
Infrared human body inductor is connected, the other end connects secondary light source and high-definition camera；Gabor filter one end connects high-definition camera
The head other end connects image normalizer；The image normalizer other end connects arm processor；Arm processor is separately connected data again
Library and display device.It is also connected with facial expressions and acts identification specific filtration resistance on arm processor to dsp processor, is identified in facial expressions and acts
Specific filtration resistance to be also connected on dsp processor facial expressions and acts identification cache module, and facial expressions and acts identification specific filtration resistance to DSP at
Reason device is also connect with image normalizer.
High-definition camera is for acquiring image information feature；Whether there is or not personnel's situations for acquisition for infrared human body inductor, and
Personal information is sent to control chip, control chip according to the collected information of infrared human body inductor for selecting to close
Or open high-definition camera and secondary light source.Gabor filter because its in image processing edge sensitive issue, can
The adaptability to illumination variation is shown, to illumination-insensitive, and good scale selection and good can be provided
Good directionality, therefore so that acquired image is first passed through pretreatment to remove such as head by the setting of Gabor filter
The redundant characters such as hair, ear, to easily facilitate subsequent matching identification.Image normalizer is filtered for receiving to correct through Gabor
Device treated facial image carries out image specification handles to acquired image to obtain the facial image of specification, wherein people
Face image code requirement, the center of two lines be located at the centre of specification facial image horizontal direction, vertical direction from
On at a quarter down.Face information of the arm processor for that will store in processed image information and database into
Row compares, to make identification information judgement；Database is used to store the image information by processing integration；Facial expressions and acts identification
Specific filtration resistance is used to dsp processor the image information feature newly received is passed through filtering optimization processing with the previous frame received
Processing is compared in the image information feature being buffered in facial expressions and acts identification cache module afterwards, is compared by dynamic multiframe high speed
And calculate, to obtain the variation characteristic of only one movement expression, finally the variation characteristic of obtained movement expression is passed again
It is then stored into database after passing arm processor.
For this system when carrying out facial information typing, system enters data input mode, then facial expressions and acts identification filtering
Facial expressions and acts identification cache module will start after comparing dsp processor and opening, and user needs first to be arranged an identity validation table
Feelings or identity validation movement, such as smile, curl one's lip, blinking, scratching ear, and high definition is passed through in this identity validation expression or movement
Institute's acquired image information characteristics are ultimately transferred to facial expressions and acts identification specific filtration resistance to dsp processor after camera acquisition,
It is buffered into facial expressions and acts identification cache module after treatment, then facial expressions and acts identification specific filtration resistance can be after to dsp processor
Continued access accepts a frame image information feature and believes human face image information feature with previous frame acquired image after treatment
Breath feature is compared, and after continuous high speed multiframe reprocesses and compares and calculate, will finally be formed by and be used to carry out
The variation characteristic of the movement expression of identity validation is then stored into database after passing to arm processor, the identity for the later period
Identification and identity validation.
In terms of accurate people face identifying system as described in this system is applied to face payment, in progress identity validation and really
It is final to need to complete to confirm or pay by this additional identity validation expression or identity validation movement when recognizing payment, from
And avoid being exposed to because of face outside, and identified by people's malice.Namely user is in use, usually collected basic
Face information is the identity validation that cannot be finally completed user, it is necessary to this default body of storage in the database of affix
Part confirmation expression or identity validation movement, could complete identification confirmation or payment.In addition this identity validation expression or
Movement can also be substituted with expression or movement superposition, that is, can be collectively constituted by the several movements of several expressions, and all
These are used for expressions also movement of identity validation etc. and all only have user to know alone, therefore under special circumstances, can
Prevent people from stealing brush or maliciously being identified by others to be arranged using these.Additionally by the setting of the two, even twins
What the identical situation of equal facial characteristics, is due to not knowing that user specifies preset identification maneuver expression, even if
Know but its variation characteristic is also due to personal muscle memory is different and is not quite similar, so two default identity validations of people
Expression or the movement information that stores in the database after facial expressions and acts identification specific filtration resistance is to dsp processor processing has been also
It is complete different, so that the identical twins of facial characteristics can easily be identified, easily solve this area of facial recognition
Problem.
Further, facial expression danger presetting module and warning device, user are also connected on the arm processor
Member can be set one or several special expressions, preset expression as danger warning when carrying out face recognition typing, thus will
Danger warning is preset expression and is stored in facial expression danger presetting module, when facing a danger or being reluctant to complete some operations
Expression is preset to alarm by oneself preset danger warning, as long as accurate people face identifying system collects the face of user
Occur presetting the consistent expression of expression, Jiu Huifa with the danger warning stored in facial expression danger presetting module after portion's information
Send alarm signal to warning device, warning device issues alarm.
Further, high-definition camera is two, and the first high-definition camera carries infrared absorption optical filter, black for acquiring
White man face image；Second high-definition camera carries infrared by optical filter, acquisition colored people face image.
Further, secondary light source is infrared LED array light source.
Further, control chip is also connect with Gabor filter and image normalizer.
Further, the display device is liquid crystal display.
Beneficial effect does not have the interference characteristic of comparison information by the use effectively removing of Gabor filter, thus under making
The comparison of one step is easier to be accurate；Identify specific filtration resistance to dsp processor and facial expressions and acts identification caching mould by facial expressions and acts
The setting of block is so as to the information by a series of expression of identity validations of people or movement as identity validation, thus can
It prevents accurate people face identifying system from brushing for being stolen when paying by people, and can easily solve the problems, such as twinborn face recognition,
It is applied to payment technical field for human body face identification technology and provides foundation for security；Pass through facial expression danger presetting module and alarm
The setting of device allows people to realize alarm by oneself preset unique expression, more convenient to use, preferably solves
Safety issue；By the setting of two special high-definition cameras, so that strong shadow be avoided to ring, the acquisition of face information passes through
It is more convenient accurate that the acquisition of black and white and colored people's image compares the later period.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the utility model, attached drawing needed for embodiment description will be made below
It is simple to introduce, it should be apparent that, the drawings in the following description are merely some embodiments of the present invention, common to this field
For technical staff, without creative efforts, it can also be obtained according to these attached drawings other attached drawings, these
The technical solution that attached drawing is directly obtained should also belong to the protection scope of the utility model.
Fig. 1 is the structural block diagram of the utility model.
Fig. 2 is the structural block diagram of the utility model embodiment 3.
Description of symbols: 101, high-definition camera；101.1, the first high-definition camera；101.2, the second high-definition camera
Head；102, infrared human body inductor；103, secondary light source；104, Gabor filter；105, image normalizer；106, ARM is handled
Device；107, database；108, display device；109, facial expression danger presetting module；110, warning device；111, core is controlled
Piece；112, facial expressions and acts identify specific filtration resistance to dsp processor；113, facial expressions and acts identify cache module.
Specific embodiment
To keep the above objects, features, and advantages of the utility model more obvious and easy to understand, below to the utility model
Specific embodiment elaborate.It is practical in order to fully understand to be explained in the following description many details
It is novel.But the utility model can be implemented with being much different from other way described herein, those skilled in the art can
To do similar improvement without prejudice to the utility model connotation, therefore the utility model is not by following public specific reality
Apply the limitation of mode.
Embodiment 1, as described in Figure 1, accurate people face identifying system include high-definition camera 101, infrared human body inductor
102, secondary light source 103, control chip 111, Gabor filter 104, image normalizer 105, arm processor 106, database
107 and display device 108；It controls 111 one end of chip and connects infrared human body inductor 102, the other end connects 103 He of secondary light source
High-definition camera 101；104 one end of Gabor filter connects 101 other end of high-definition camera and connects image normalizer 105；Image
105 other end of normalizer connects arm processor 106；Arm processor 106 is separately connected database 107 and display device 108 again.
Facial expressions and acts identification specific filtration resistance is also connected on arm processor to dsp processor 112, in facial expressions and acts identification specific filtration resistance to DSP
Facial expressions and acts identification cache module 113 is also connected on processor 112, and facial expressions and acts identification specific filtration resistance is to dsp processor
112 also connect with image normalizer 105.
High-definition camera 101 is used to acquire the image information of face face；Infrared human body inductor 102 for acquire whether there is or not
Personnel's situation, and personal information is sent to control chip 111, control chip 111 according to infrared human body inductor 102 for adopting
The information collected selects to close or open high-definition camera 101 and secondary light source 103.Gabor filter 104 because its
In image processing edge sensitive issue, the adaptability to illumination variation can be shown, to illumination-insensitive, and can
To provide good scale selection and good directionality, therefore made by the setting of Gabor filter 104 collected
Image information feature first passes through pretreatment to remove the redundant character such as hair, ear, to easily facilitate subsequent comparison
Identification.Image normalizer 105 is corrected for receiving through treated the image information of Gabor filter 104, is carried out to image information
Image specification handles are to obtain the facial image of specification, wherein the center of facial image code requirement, two lines is located at
At the centre of specification facial image horizontal direction, a quarter from top to bottom of vertical direction.Arm processor 106 is used for will
Stored in processed image information and database 107 preset identity validation expression or identity validation movement with it is freshly harvested
Image information is compared, to make identification information judgement, is finally completed recognition of face；Database 107 passes through for storing
Handle the face information of integration and the identity information of user；Facial expressions and acts identify specific filtration resistance to dsp processor 112 for will newly connect
What the image information feature and previous frame received received is buffered in facial expressions and acts identification caching mould after filtering optimization processing
Processing is compared in image information feature in block 113, so that the variation characteristic of only one movement expression is obtained, finally again by institute
The variation characteristic of obtained movement expression is then stored into database 107 after passing to arm processor 106, is used for later identity
Identification and confirmation.
For this system when carrying out facial information typing, system initially enters data input mode, and then facial expressions and acts identify
Specific filtration resistance will start dsp processor 112 and facial expressions and acts identification cache module 113, and it is true that user needs first to be arranged an identity
Recognize expression or identity validation movement, such as smiles, curls one's lip, blinking, scratching ear, and this identity validation expression or movement are passed through
Institute's acquired image information characteristics are ultimately transferred to facial expressions and acts after acquiring and identify specific filtration resistance to DSP by high-definition camera 101
Processor 112, and facial expressions and acts identification caching is buffered into after facial expressions and acts identification specific filtration resistance is to the processing of dsp processor 112
In module 113, then facial expressions and acts identification specific filtration resistance will continue to dsp processor 112 to receive next frame image information feature simultaneously
Human face image information feature is compared with a upper acquired image information characteristics after treatment, by continuous high
After the reprocessing of fast multiframe is compared and calculated, it will finally be formed by and be used to carry out the variation characteristic of the movement expression of identity validation
It is then stored into database 107 after passing to arm processor 106, identification and identity validation for the later period.
If accurate people face identifying system described in this system be applied to face payment aspect, carry out identity validation and
It is final to need to complete to confirm or pay by this additional identity validation expression or identity validation movement when confirmation payment,
It is outer to avoid being exposed to because of face, and identified by people's malice.Namely user in use, ordinary people face identifying system
Basic face information collected cannot be finally completed identity validation, it is necessary to affix this be stored in database
Default identity validation expression or identity validation movement in 107, could complete identification confirmation or payment.In addition this body
Part confirmation expression or movement can also be substituted with expression or movement superposition, that is, can act common group by several expressions are several
At, and all these expressions for identity validation all only have user to know alone there are also movement etc., therefore in spy
In different situation, it can use these settings to prevent people from stealing brush or maliciously being identified by others.Additionally by the setting of the two,
Even the identical situation of the facial characteristics such as twins, due to not knowing that user specifies preset identification maneuver expression
What is, its variation characteristic knowing is also due to personal muscle memory is different and is not quite similar, so two people preset
Identity validation expression or movement by facial expressions and acts identification specific filtration resistance to dsp processor 112 processing after be stored in data
Information in library is also entirely different, so that the identical twins of facial characteristics can easily be identified, is easily solved
The problem of this area of facial recognition.By the setting of overall system structure make accurate people face identifying system to the identification in people face more
Accelerate prompt accurate；Do not have the interference characteristic of comparison information by the use effectively removing of Gabor filter, to make next step
It is easier to be accurate to compare；Identify that specific filtration resistance identifies that cache module is set to dsp processor and facial expressions and acts by facial expressions and acts
It sets so as to the information by a series of expression of identity validations of people or movement as identity validation, so that essence can be prevented
True people face identifying system is brushed for being stolen when paying by people, and can easily solve the problems, such as twinborn face recognition, is also human body
Facial recognition techniques are applied to payment technical field and provide foundation for security.
Each hardware used in above-mentioned is structure well known in the prior art, can be commercially available on the market.Such as
Facial expressions and acts identification specific filtration resistance can select the TMS320 or Motorola of Texas Instruments company to dsp processor
The DSP56000 of company's production realizes that Gabor filter and image normalizer be also all existing hardware configuration, and
It can also directly be commercially available in the market, and its specific structure also can get by conventional data, details are not described herein related hardware
Specific structure.
Embodiment 2 based on the above technical solution, further, is also connected with face on the arm processor 106
Expression danger presetting module 109 and warning device 110, user of service when carrying out face recognition typing, can be set one or
Several special expressions, preset expression as danger warning, so that danger warning, which is preset expression, is stored in facial expression danger in advance
If in module 109, when facing a danger or being reluctant to complete some operations by oneself preset danger warning preset expression come
Alarm, if accurate people face identifying system collect after the facial information of user occur it is default with facial expression danger
The danger warning stored in module 109 presets the consistent expression of expression, will send alarm signal to warning device, warning device
Issue alarm.And some operations such as payment, subsequent operation of opening the door can be interrupted by this alarm expression or movement, is
The safety of face recognition technology proposes higher guarantee, to keep the use of face recognition technology safer.Above-mentioned institute
The facial expression danger presetting module 109 stated is that a memory being separately provided being connected with arm processor 106 has come
At.
Embodiment 3, high-definition camera 101 are two, and the first high-definition camera 101.1 carries infrared absorption optical filter, uses
In acquisition black and white facial image；Second high-definition camera 101.2 carries infrared by optical filter, acquisition colorized face images.It is logical
It crosses while acquiring black and white people face information and colored people face information can be to avoid acquired image information is unintelligible and cannot achieve
It identifies matched defect, keeps entire accurate people face identifying system identification more accurate.
Embodiment 4, secondary light source 103 are infrared LED array light source, can be better by the setting of LED array light source
Secondary light source is provided for high-definition camera.
Embodiment 5 as described in Figure 1, accurate people face identifying system include high-definition camera 101, infrared human body inductor 102,
Secondary light source 103, control chip 111, Gabor filter 104, image normalizer 105, arm processor 106,107 and of database
Display device 108；It controls 111 one end of chip and connects infrared human body inductor 102, the other end connects secondary light source 103 and high definition
Camera 101；104 one end of Gabor filter connects 101 other end of high-definition camera and connects image normalizer 105；Image specification
105 other end of device connects arm processor 106；Arm processor 106 is separately connected database 107 and display device 108 again.ARM
Facial expressions and acts identification specific filtration resistance is also connected on processor to dsp processor 112, at facial expressions and acts identification specific filtration resistance is to DSP
Facial expressions and acts identification cache module 113 is also connected on reason device 112, and facial expressions and acts identification specific filtration resistance is to dsp processor 112
Also it is connect with image normalizer 105.Further, facial expression danger presetting module is also connected on the arm processor 106
109 and warning device 110, user of service one or several special expressions can be set when carrying out face recognition typing, as
Danger warning presets expression, is stored in facial expression danger presetting module 109 so that danger warning is preset expression, when encountering
It is dangerous or expression is preset to alarm, as long as accurate people by oneself preset danger warning when being reluctant to complete some operations
Face identifying system collects the danger for occurring after the facial information of user and storing in facial expression danger presetting module 109
It alarms and presets the consistent expression of expression, alarm signal will be sent to warning device, warning device issues alarm.And it can lead to
This alarm expression or movement are crossed to interrupt some operations such as payment, subsequent operation of opening the door, is the safety of face recognition technology
Property propose higher guarantee, thus make face recognition technology use it is safer.High-definition camera 101 be two, first
High-definition camera 101.1 carries infrared absorption optical filter, for acquiring black and white facial image；Second high-definition camera 101.2 is taken
With infrared by optical filter, colorized face images are acquired.Secondary light source 103 is infrared LED array light source, passes through LED array light
The setting in source preferably can provide secondary light source for high-definition camera.Control chip 111 also with Gabor filter 104 and figure
As the connection of normalizer 105, thus under long-term unmanned state, it can also be used to make Gabor filter 104 and image normalizer 105
In low power operating state.Do not have the interference characteristic of comparison information by the use effectively removing of Gabor filter, to make
The comparison of next step is easier to be accurate；Identify specific filtration resistance to dsp processor and facial expressions and acts identification caching by facial expressions and acts
The setting of module so as to by a series of expression of identity validations of people or act information as identity validation, thus
To prevent accurate people face identifying system from brushing for being stolen when paying by people, and it can easily solve the problems, such as twinborn face recognition,
Also it is applied to payment technical field for human body face identification technology and provides foundation for security；Pass through facial expression danger presetting module and report
The setting of alarm device allows people to realize alarm by oneself preset unique expression, more convenient to use, preferably solves
Safety issue；By the setting of two special high-definition cameras, so that strong shadow be avoided to ring, the acquisition of face information is led to
Crossing the acquisition of black and white and colored people's image, to compare the later period more convenient accurate.
Specifically in use, people face identifying system accurate first enters data input mode, then infrared human body sense
It answers device 102 to sense human body, then controls chip 111 and control secondary light source 103, the starting of high-definition camera 101.User is in high definition
The typing of identity validation expression or identity validation movement is carried out before camera 101, high-definition camera 101 believes acquired image
Breath passes to Gabor filter 104, then passes to image normalizer 105 again, next passes to facial expressions and acts again and identified
Filter compares dsp processor 112, and buffers into facial expressions and acts after facial expressions and acts identification specific filtration resistance is to the processing of dsp processor 112
It identifies in cache module 113, then facial expressions and acts identification specific filtration resistance will continue to dsp processor 112 to receive next frame image letter
Simultaneously image information feature is compared with previous frame acquired image information characteristics after treatment for breath feature, by continuous
The reprocessing of high speed multiframe compare and calculate after, will finally be formed by and be used to carry out the variation of the movement expression of identity validation
Feature is then stored into database 107 after passing to arm processor 106, identification and identity validation for the later period.Complete
After identity validation expression or identity validation movement, also optionally carries out danger warning and presets the default of expression or movement,
And preset danger warning is preset expression or acted and is stored in facial expression danger presetting module 109.Then accurate people face
When identifying system carries out identification again, the image information that is acquired by high-definition camera 101 can be stored in database 107
Movement expression variation characteristic compared to pair, if information comparison success so recognition of face success, if comparison is unsuccessful, that
It is unable to complete recognition of face.In addition if faced a danger in identification process, face can also be stored in by preset in advance
Danger warning in portion's expression danger presetting module 109 presets expression or movement to alarm, or even locking payment or payment.
Claims (6)
1. a kind of accurate people face identifying system, it is characterised in that: including high-definition camera (101), infrared human body inductor
(102), secondary light source (103), control chip (111), Gabor filter (104), image normalizer (105), arm processor
(106), database (107) and display device (108)；Chip (111) one end connection infrared human body inductor (102) is controlled, separately
One end connects secondary light source (103) and high-definition camera (101)；Gabor filter (104) one end connects high-definition camera
(101) other end connection image normalizer (105)；Image normalizer (105) other end connects arm processor (106)；At ARM
Reason device (106) is separately connected database (107) and display device (108) again；It is dynamic that expression is also connected on arm processor (106)
Make identification specific filtration resistance to dsp processor (112), in facial expressions and acts identification specific filtration resistance to being also connected with table on dsp processor (112)
Feelings action recognition cache module (113).
2. accurate people face identifying system according to claim 1, it is characterised in that: also connect on the arm processor (106)
It is connected to facial expression danger presetting module (109) and warning device (110).
3. accurate people face identifying system according to claim 2, it is characterised in that: high-definition camera (101) is two, the
One high-definition camera (101.1) carries infrared absorption optical filter, and the second high-definition camera (101.2) carries infrared by optical filtering
Piece.
4. accurate people face identifying system according to claim 3, it is characterised in that: secondary light source (103) is infrared LED battle array
Column light source.
5. accurate people face identifying system according to claim 4, it is characterised in that: control chip (111) is also filtered with Gabor
Wave device (104) and image normalizer (105) connection.
6. accurate people face identifying system according to claim 5, it is characterised in that: display device (108) is liquid crystal display
Device.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197609A (en) * | 2018-02-02 | 2018-06-22 | 梁纳星 | A kind of accurate people face identifying system |
| CN109801421A (en) * | 2019-01-30 | 2019-05-24 | 成都智元汇信息技术股份有限公司 | A kind of subway intelligent and safe detection system and method |
-
2018
- 2018-02-02 CN CN201820198728.3U patent/CN208351492U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197609A (en) * | 2018-02-02 | 2018-06-22 | 梁纳星 | A kind of accurate people face identifying system |
| CN109801421A (en) * | 2019-01-30 | 2019-05-24 | 成都智元汇信息技术股份有限公司 | A kind of subway intelligent and safe detection system and method |
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