CN109214158A - One kind is swiped the card recognition of face control system - Google Patents
One kind is swiped the card recognition of face control system Download PDFInfo
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- CN109214158A CN109214158A CN201811006079.3A CN201811006079A CN109214158A CN 109214158 A CN109214158 A CN 109214158A CN 201811006079 A CN201811006079 A CN 201811006079A CN 109214158 A CN109214158 A CN 109214158A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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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
- G06V40/168—Feature extraction; Face representation
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Abstract
It swipes the card recognition of face control system, including data update module, intelligent identification module, data conversion module, controller, database contrast module, calculation system module, face recognition module, central processing unit, power module, module of swiping the card, data transmission module, management end and device control module the invention discloses one kind；Device control module is connected to controller by data transmission module, and controller is connected to intelligent identification module by data conversion module.Recognition of face Control System Design of swiping the card of the invention is reasonable, recognition of face is activated by swiping the card, and equipment state is controlled by face recognition result, authentication is carried out when opening equipment, the successful personnel of face verification can open equipment, the personnel verified not successfully then have no right to open equipment, to effectively increase device security, have preferable promotional value.
Description
Technical field
The present invention relates to technical field of face recognition, specifically a kind of recognition of face control system of swiping the card.
Background technique
Recognition of face is a kind of biological identification technology for carrying out identification based on facial feature information of people.With camera shooting
Machine or camera acquire image or video flowing containing face, and automatic detection and tracking face in the picture, and then to detection
The face that arrives carries out a series of the relevant technologies of face, usually also referred to as Identification of Images, face recognition.
Currently, mechanical equipment faces various security threats.FAQs mainly when opening mechanical equipment, and is not required to
Authentication is carried out, anyone can start machine, and safety is lower.Therefore, the present invention provide one kind swipe the card face knowledge
Other control system, increases the security enabled of mechanical equipment.
Summary of the invention
It swipes the card recognition of face control system the purpose of the present invention is to provide one kind, to solve to propose in above-mentioned background technique
The problem of.
To achieve the above object, the invention provides the following technical scheme:
One kind is swiped the card recognition of face control system, including data update module, intelligent identification module, data conversion module, control
Device, database contrast module, calculation system module, face recognition module, central processing unit, power module, module of swiping the card, number
According to transmission module, management end and device control module；The data update module is connected to database contrast module, recognition of face
Module is connected to database contrast module, database contrast module, intelligent identification module, power supply mould by calculation system module
Block and module of swiping the card are connected to central processing unit；Device control module is connected to controller by data transmission module, control
Device is connected to intelligent identification module by data conversion module.
As a further solution of the present invention: the face recognition module include control unit, facial image input unit,
Face metadata production unit, face metadata storage unit, human face similarity degree computing unit and face image database；Face
Image input units are connected to face metadata production unit, and it is single that face metadata production unit is connected to the storage of face metadata
Member, face metadata storage unit are connected to human face similarity degree computing unit, and human face similarity degree computing unit passes through control unit
It is connected to face image database, the face image database other end is connected to facial image input unit.
As a further solution of the present invention: the face metadata production unit include face member feature extraction unit and
Confidence index extraction unit.
As a further solution of the present invention: the human face similarity degree computing unit includes being distributed estimation unit and apart from meter
Calculate unit.
As a further solution of the present invention: the recognition of face control system of swiping the card further includes alarm modules, alarm
Module is connected to central processing unit.
As a further solution of the present invention: the recognition of face control system of swiping the card further includes management end, management end
Central processing unit is connected to by communication module.
As a further solution of the present invention: the recognition of face control system of swiping the card further includes intercom, intercom
It is connected to central processing unit.
As a further solution of the present invention: the management end uses mobile phone or PC.
Compared with prior art, the beneficial effects of the present invention are:
Recognition of face Control System Design of swiping the card of the invention is reasonable, activates recognition of face by swiping the card, and pass through recognition of face
As a result control equipment state, authentication carried out when opening equipment, the successful personnel of face verification can open equipment, not at
The personnel of function verifying then have no right to open equipment, to effectively increase device security, have preferable promotional value.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of recognition of face control system of swiping the card.
Fig. 2 is the structural schematic diagram of face recognition module in recognition of face control system of swiping the card.
Fig. 3 is the structural schematic diagram of human face similarity degree computing unit in recognition of face control system of swiping the card.
Wherein: 1- data update module；2- intelligent identification module；3- data conversion module；4- controller；5- database pair
Compare module；6- calculation system module；7- face recognition module；8- central processing unit；9- intercom；10- power module；11-
It swipes the card module；12- data transmission module；13- communication module；14- management end；15- device control module；16- alarm modules；
17- control unit；18- facial image input unit；19- face metadata production unit；20- face metadata storage unit；
21- human face similarity degree computing unit；22- face image database.
Specific embodiment
The technical solution of the patent is explained in further detail With reference to embodiment.
Embodiment 1
Please refer to Fig. 1-3, one kind is swiped the card recognition of face control system, including data update module 1, intelligent identification module 2, data
Conversion module 3, controller 4, database contrast module 5, calculation system module 6, face recognition module 7, central processing unit 8,
Power module 10, module of swiping the card 11, data transmission module 12, management end 14 and device control module 15；The data update mould
Block 1 is connected to database contrast module 5, and face recognition module 7 is connected to database contrast module by calculation system module 6
5, database contrast module 5, intelligent identification module 2, power module 10 and module 11 of swiping the card are connected to central processing unit 8；If
Standby control module 15 is connected to controller 4 by data transmission module 12, and controller 4 is connected to intelligence by data conversion module 3
It can identification module 2；
Using swiping the card, module 11 is swiped the card, and activation face recognition module 7 opens work.Using face recognition module 7 by personage
Input database after data processing is utilized database pair by information input to calculation system module 6, calculation system module 6
Comparing is carried out than module 5, comparison result includes successfully with failure, and the information after comparison is after the processing of central processing unit 8
It is delivered to intelligent identification module 2, the data generated after data conversion module 3 is converted, via controller 4 controls data transmission module
12 are delivered to device control module 15, and control module 15 controls opening of device or closing according to comparison result, compares successfully, then control
Control equipment is opened, and compares failure, then equipment is not turned on；Using data update module 1 data maintenance and more can be carried out to database
Newly.It is powered using power module 10 to whole system.
The face recognition module 7 includes control unit 17, facial image input unit 18, face metadata production unit
19, face metadata storage unit 20, human face similarity degree computing unit 21 and face image database 22；Facial image input is single
Member 18 is connected to face metadata production unit 19, and face metadata production unit 19 is connected to face metadata storage unit
20, face metadata storage unit 20 is connected to human face similarity degree computing unit 21, and human face similarity degree computing unit 21 passes through control
Unit 17 processed is connected to face image database 22, and 22 other end of face image database is connected to facial image input unit
18；The face metadata production unit 19 includes face member feature extraction unit and confidence index extraction unit；The face
Similarity calculated 21 includes distribution estimation unit and metrics calculation unit.
Using face metadata generation technique and human face similarity degree computing technique, the accuracy of recognition of face is improved, according to
The present invention can extract confidence level from facial image, can adaptively be calculated between disparate modules according to confidence level
Similarity, therefore improve the accuracy of recognition of face, face metadata generating device is according to the facial image portion in image
Divide to produce metadata.Face metadata production equipment includes face characteristic extraction unit, special for extracting face from image
Sign and confidence index extraction unit, for extracting confidence index of the instruction about the confidence level of face characteristic from image, and
Produce the face characteristic and confidence index as face metadata.The contrast that confidence index extraction unit can extract image refers to
Mark, as confidence index.The difference of the maximum value and minimum value of pixel value in image can be extracted, the contrast as image refers to
Mark.Alternatively, the standard deviation or variance of the pixel value of image are selected, the contrast index as image.Furthermore, it is possible to extract image
Asymmetric index as confidence index.It extracts image and difference between the mirror image that the image obtains is overturn by left and right
Maximum value, the asymmetric index as image.Alternatively, extracting pixel value from image and the error image of flipped image
Power and value one of with mean value, the asymmetric index as image.Confidence index extraction unit is to include that the first confidence index mentions
Unit is taken, for extracting the contrast index and the second confidence index extraction unit of image, for extracting the asymmetric finger of image
Mark.First confidence index extraction unit extracts the maximum value of pixel value and the difference of minimum value in image, and the contrast as image refers to
Mark, and the second confidence index extraction unit extracts the maximum value of the difference of image and flipped image, the asymmetric finger as image
Mark.Alternatively, the first confidence index extraction unit can extract one of the standard deviation and variance of pixel value in image, as image
Contrast index, and the second confidence index extraction unit can extract the power of the pixel value of the error image of image and flipped image
And value one of with mean value, the asymmetric index as image.
Embodiment 2
It on the basis of embodiment 1, further include alarm modules 16, alarm modules 16 are connected to central processing unit 8.Alarm modules
16, for issuing alarm signal after face recognition module 7 continuously compares failure 3 times.
Embodiment 3
It on the basis of embodiment 1, further include management end 14, management end 14 uses mobile phone or PC, and management end 14 passes through communication mould
Block 13 is connected to central processing unit 8.Management end 14, after in face recognition module 7, continuously comparison fails 3 times, central processing
Device 8 sends short message to management end 14 by communication module 13, and administrative staff is reminded to pay attention to.
Embodiment 4
It on the basis of embodiment 1, further include intercom 9, intercom 9 is connected to central processing unit 8.Intercom 9, for managing
Person links up with the personnel at equipment.
The working principle of the invention is: using swiping the card, module 11 is swiped the card, and activation face recognition module 7 opens work.
People information is input to calculation system module 6 using face recognition module 7, calculation system module 6 will be after data processing
Input database carries out comparing using database contrast module 5, and comparison result includes the letter after comparison successfully with failure
Breath is delivered to intelligent identification module 2 after the processing of central processing unit 8, the data generated after data conversion module 3 is converted, warp
Controller 4 controls data transmission module 12 and is delivered to device control module 15, and control module 15 controls equipment according to comparison result
It opens or closes, compares successfully, then control opening of device, compare failure, then equipment is not turned on；It can using data update module 1
Data maintenance and update are carried out to database.It is powered using power module 10 to whole system.Skill is generated using face metadata
Art and human face similarity degree computing technique, improve the accuracy of recognition of face, according to the present invention it is possible to extract from facial image
Confidence level can adaptively calculate the similarity between disparate modules according to confidence level, therefore improve recognition of face
Accuracy, face metadata generating device produce metadata according to the facial image part in image.The production of face metadata
Equipment includes face characteristic extraction unit, for extracting face characteristic and confidence index extraction unit from image, for from
In image extract instruction about face characteristic confidence level confidence index, and produce as face metadata face characteristic and
Confidence index.Confidence index extraction unit can extract the contrast index of image, as confidence index.It can extract in image
The maximum value of pixel value and the difference of minimum value, the contrast index as image.Alternatively, select the pixel value of image standard deviation or
Variance, the contrast index as image.Furthermore, it is possible to extract the asymmetric index of image as confidence index.Extract figure
Picture and the maximum value that difference between the mirror image that the image obtains is overturn by left and right, the asymmetric index as image.Or
Person, extracted from image and the error image of flipped image the power of pixel value and one of value and mean value, as the non-of image
Symmetrical index.Confidence index extraction unit is to include the first confidence index extraction unit, for extracting the contrast index of image, with
And the second confidence index extraction unit, for extracting the asymmetric index of image.First confidence index extraction unit extracts image
The maximum value of middle pixel value and the difference of minimum value, as the contrast index of image, and the second confidence index extraction unit extracts
The maximum value of the difference of image and flipped image, the asymmetric index as image.Alternatively, the first confidence index extraction unit can be with
The standard deviation and one of variance for extracting pixel value in image, as the contrast index of image, and the second confidence index extraction list
That member can extract the power of the pixel value of the error image of image and flipped image and one of value and mean value, as the non-right of image
Claim index.
It should be strongly noted that including data update module 1, intelligent identification module 2, data conversion module in the application
3, controller 4, database contrast module 5, calculation system module 6, face recognition module 7, central processing unit 8, power module
10, module of swiping the card 11, data transmission module 12, management end 14 and device control module 15 are the application of the prior art, using people
Face identification module controls the innovative point that opening of device is the application, and efficiently solving current equipment can arbitrarily open, safety
Low problem.
The preferred embodiment of the patent is described in detail above, but this patent is not limited to above-mentioned embodiment party
Formula within the knowledge of one of ordinary skill in the art can also be under the premise of not departing from this patent objective
Various changes can be made.
Claims (8)
- The recognition of face control system 1. one kind is swiped the card, which is characterized in that including data update module (1), intelligent identification module (2), data conversion module (3), controller (4), database contrast module (5), calculation system module (6), recognition of face mould It block (7), central processing unit (8), power module (10), module of swiping the card (11), data transmission module (12), management end (14) and sets Standby control module (15)；The data update module (1) is connected to database contrast module (5), and face recognition module (7) passes through Calculation system module (6) is connected to database contrast module (5), database contrast module (5), intelligent identification module (2), electricity Source module (10) and module of swiping the card (11) are connected to central processing unit (8)；Device control module (15) transmits mould by data Block (12) is connected to controller (4), and controller (4) is connected to intelligent identification module (2) by data conversion module (3).
- 2. recognition of face control system according to claim 1 of swiping the card, which is characterized in that the face recognition module (7) It is single including control unit (17), facial image input unit (18), face metadata production unit (19), the storage of face metadata First (20), human face similarity degree computing unit (21) and face image database (22)；Facial image input unit (18) is connected to Face metadata production unit (19), face metadata production unit (19) are connected to face metadata storage unit (20), people Face metadata storage unit (20) is connected to human face similarity degree computing unit (21), and human face similarity degree computing unit (21) passes through control Unit (17) processed is connected to face image database (22), and face image database (22) other end is connected to facial image input Unit (18).
- 3. recognition of face control system according to claim 2 of swiping the card, which is characterized in that the face metadata production list First (19) include face member feature extraction unit and confidence index extraction unit.
- 4. recognition of face control system according to claim 2 of swiping the card, which is characterized in that the human face similarity degree calculates single First (21) include distribution estimation unit and metrics calculation unit.
- 5. recognition of face control system according to claim 1 of swiping the card, which is characterized in that the recognition of face control of swiping the card System processed further includes alarm modules (16), and alarm modules (16) are connected to central processing unit (8).
- 6. -5 any recognition of face control system of swiping the card according to claim 1, which is characterized in that the face of swiping the card Control system for identifying further includes management end (14), and management end (14) is connected to central processing unit (8) by communication module (13).
- 7. -5 any recognition of face control system of swiping the card according to claim 1, which is characterized in that the face of swiping the card Control system for identifying further includes intercom (9), and intercom (9) is connected to central processing unit (8).
- 8. -5 any recognition of face control system of swiping the card according to claim 1, which is characterized in that the management end 14 Using mobile phone or PC.
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| CN201811006079.3A CN109214158A (en) | 2018-08-30 | 2018-08-30 | One kind is swiped the card recognition of face control system |
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| CN201811006079.3A CN109214158A (en) | 2018-08-30 | 2018-08-30 | One kind is swiped the card recognition of face control system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN204731853U (en) * | 2015-05-12 | 2015-10-28 | 湖南德康慧眼控制技术股份有限公司 | A kind of AB every access control system |
| CN105654584A (en) * | 2015-12-24 | 2016-06-08 | 歌尔声学股份有限公司 | Access control monitoring method and system thereof |
| CN107169473A (en) * | 2017-06-10 | 2017-09-15 | 广东聚宜购家居网络科技有限公司 | A kind of recognition of face control system |
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- 2018-08-30 CN CN201811006079.3A patent/CN109214158A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204731853U (en) * | 2015-05-12 | 2015-10-28 | 湖南德康慧眼控制技术股份有限公司 | A kind of AB every access control system |
| CN105654584A (en) * | 2015-12-24 | 2016-06-08 | 歌尔声学股份有限公司 | Access control monitoring method and system thereof |
| CN107169473A (en) * | 2017-06-10 | 2017-09-15 | 广东聚宜购家居网络科技有限公司 | A kind of recognition of face control system |
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Application publication date: 20190115 |