CN109344791A - Identification identification method based on face's intelligent scanning - Google Patents
Identification identification method based on face's intelligent scanning Download PDFInfo
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- CN109344791A CN109344791A CN201811204461.5A CN201811204461A CN109344791A CN 109344791 A CN109344791 A CN 109344791A CN 201811204461 A CN201811204461 A CN 201811204461A CN 109344791 A CN109344791 A CN 109344791A
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Abstract
The present invention discloses a kind of identification identification method based on face's intelligent scanning, including direct picture acquisition unit, side image acquisition unit, positioning unit and height acquisition unit, transit module, temporary storage module, database, mobile terminal, controller, display module, alarm modules, the direct picture acquisition unit connect transit module with side image acquisition unit, transit module is connected with temporary storage module and controller, controller is connect with temporary storage module, database, display module, alarm modules and execution module, and database is connected with mobile terminal.The present invention is by storing image information PO every the replacement in a cycle T more new database, timely update the facial information of user in database, reduce the influence of age, hair style and user's weight variation to recognition result, the height for acquiring the video camera of facial picture signal is controlled by positioning unit simultaneously and user's height is close, reduces influence of the shooting angle to recognition result.
Description
Technical field
The invention belongs to technical field of face recognition, specifically, being related to a kind of identification identification based on face's intelligent scanning
Method.
Background technique
Facial recognition techniques are a kind of using general video camera as identification information acquisition device, pass through non-contacting mode
The face-image of identification object is obtained, and acquired image is compared with the image in database to realize information authentication
With identification, the regional characteristics analysis algorithm being widely adopted in face recognition technology, it has merged computer image processing technology
With biostatistics principle in one, portrait characteristic point is extracted from video using computer image processing technology, utilizes biology
Statistical principle carries out analysis founding mathematical models, i.e. skin detection, utilizes built skin detection and quilt
The image surface of survey person carries out signature analysis, and a similar value is provided according to the result of analysis, can be determined whether by this value
For same people.
Face recognition is a kind of identification method based on biological characteristic, the identification method phase led to fingerprint recognition equal difference stock
Than, have in real time, accurate, high-precision, easy to use, the difficult characteristics such as counterfeit, and with the fast development of facial recognition techniques,
What the accuracy rate of face recognition also obtained greatly improves, its recognition accuracy alreadys exceed eye recognition ability, Neng Gou at present
It is applied in practical operation.
But facial recognition techniques operand in the prior art is excessive, it is a know from experience due to expression shape change, change of age with
The face-image of observation angle variation and influence acquisition, this kind variation change in the class of user we term it changing in class
Meeting disturbance ecology system distinguishes individual by changing between class, in order to solve this problem, provides a kind of quick, high-precision
Based on the identification identification method of face's intelligence surface sweeping, the present invention provides following technical schemes.
Summary of the invention
The purpose of the present invention is to provide a kind of identification identification methods based on face's intelligent scanning.
The technical problem to be solved in the invention are as follows:
1, in the prior art, face's intelligent scanning need to come all features of facial information collected in database
Feature compare, cause the operand of computer excessive, directly influence the speed of identification and identification；
2, in the prior art, the face recognition image of user can be due to expression, age, user's weight variation and observation angle
Cause identification identification difficult Deng influencing, to directly affect the speed and accuracy of identification identification.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of identification identification method based on face's intelligent scanning, including the acquisition of direct picture acquisition unit, side image
Unit, positioning unit and height acquisition unit, transit module, temporary storage module, database, mobile terminal, controller, display mould
Block, alarm modules, the direct picture acquisition unit and side image acquisition unit are all connected with transit module and positioning unit, fixed
Bit location connects height acquisition unit, and transit module connects temporary storage module and controller, controller and temporary storage module, database,
Display module, alarm modules and execution module connect, and database is connected with mobile terminal；
Wherein, the direct picture acquisition unit is that the positive camera being vertically arranged of user is arranged in a column, is defined
The camera of bottommost is A1, and the camera of highest point is An, and n is the natural number not less than 2, between two neighboring camera
Distance is t, and the height of camera A1 is H, and direct picture acquisition unit is used to acquire face's direct picture information of user；
The side image acquisition unit is the camera being vertically arranged that user side is arranged in a column, defines bottommost
Camera be B1, the camera of highest point is Bn, and n is the natural number not less than 2, and the distance between two neighboring camera is
The height of t, camera B1 are H, and side image acquisition unit is used to acquire face's direct picture information of user；
The height acquisition unit is by acquisition user images and is analyzed image to obtain the height values E of user,
And obtained height values E is transmitted to positioning unit；
The positioning unit receives the height values E of height acquisition unit input, and controls direct picture according to height values
The camera operation of respective heights and image information is acquired in acquisition unit and side image acquisition unit, makes to acquire image information
Video camera it is consistent with the height of user face；
The specific positioning step of the positioning unit are as follows:
S1, the height values E for receiving the input of height acquisition unit, E is compared with H and H+nt, fixed as E < H
Bit location controls camera A1 and camera B1 and opens acquisition image information, and as E > H+nt, positioning unit controls camera An
Acquisition image information is opened with camera Bn, as H < E < H+nt, into next step；
S2, D=∣ H+kt-E ∣, 1≤k≤n are defined, k is natural number, calculates the value of k when D minimum；
It S3, positioning unit control direct picture acquisition unit and camera Ak corresponding on side image acquisition unit and takes the photograph
As head Bk opens acquisition image information；
The transit module is for receiving direct picture acquisition unit face's direct picture information collected and side view
As acquisition unit face's side image information collected, by face's direct picture information of a user and face's side image
Information package is respectively sent to temporary storage module and controller as real-time image information P, by real-time image information P；
The database is used to store the facial image information of user, and the user's face image information defined in database is
Store image information PO；
The mobile terminal is used to acquire the face's direct picture information and face's side image information of user, and will be adopted
The face's direct picture information and face's side image information package of collection are sent to database as storage image information PO；
The controller is compared with the real-time image information P that will be received with the storage image information PO in database
And obtain similarity numerical value S, an a reference value F is set, as similarity numerical value S >=F, then confirms and is detected in user and database
It is same people that retrieved message, which corresponds to user, as similarity numerical value S < F, then it is assumed that is detected in user and database and examines
It is same people that the information that rope goes out, which corresponds to user not, is identified by staff by other identification identification modes；
The controller is connected with execution module, and execution module is used to execute the instruction after identification passes through, including but not
It is limited to the switch of door and the browse right of encryption information；
The temporary storage module starts continuous r times temporarily storage real-time image information P every a cycle T, and will be with data
The highest real-time image information P replacement storage image information PO of storage image information PO similarity in library, utilizes realtime graphic
The specific steps of information P replacement storage image information PO are as follows:
S1, after reaching a cycle T, by first time acquisition user real-time image information be defined as P1 after be stored in
In temporary storage module, controller obtains similarity numerical value S1 after comparing P1 and PO；
S2, the real-time image information of second of acquisition is defined as to P2, controller obtains similarity after comparing P2 and PO
S2 is compared by numerical value S2 with S1, and the corresponding real-time image information of smaller value is deleted from temporary storage module, and will be compared with
It is worth corresponding real-time image information greatly to be stored in temporary storage module；
R S3, continuous acquisition real-time image information P, obtain final real-time figure according to the comparison method in previous step
As information Pj；
S4, by the storage image information PO in Pj replacement data library.
As further scheme of the invention, face's direct picture information in image information PO is stored in the database
It is divided into forehead characteristic area, eyebrow characteristic area, nose characteristic area, mouth characteristic area and ear characteristic area, it is described
Face's direct picture information correspondence in real-time image information P is divided into forehead characteristic area, eyebrow characteristic area, nose feature
Region, mouth characteristic area and ear characteristic area, when carrying out face's direct picture information comparison, successively with one of those
Characteristic area, which is compared, is gradually reduced search range.
As further scheme of the invention, the height acquisition unit surveys height technology or binocular vision using monocular vision
Feel height technology of surveying, the measurement height values E is estimated value.
As further scheme of the invention, steps are as follows for the specific comparison of the controller:
Step 1: it will be stored in image information PO in face's side image information and date library in real-time image information P
Face's side image information be compared, identification judgement is carried out by profile information, dimension information and color information；
Step 2: multiple facial images to be selected are filtered out from database according to face's side image information comparison；
Step 3: by being stored in image information PO in face's direct picture information and date library in real-time image information P
Face's direct picture information be compared, i satisfactory face informations are obtained, as i=1, directly by realtime graphic
Information P is compared with storage image information PO and obtains similarity numerical value S, and as i ≠ 1, controller controls alarm modules hair
Alarm out, wherein controller transmits real-time image information P with the multiple storage image information PO being retrieved as i > 1
To display module, further detected by staff by naked eyes or other detection methods.
Beneficial effects of the present invention:
1, first by storing face's side image information and realtime graphic letter in image information PO in identification database
It ceases face's side image information in P and reduces identification range, then the face by being stored in image information PO in database is just
Face's direct picture information in face image information and real-time image information P is divided into multiple areas according to identical preset rules
Domain is successively compared when carrying out face's direct picture information comparison with one of characteristic area to be gradually reduced and search
The calculation amount of rope range, controller reduces, and is conducive to the quick progress for identifying qualification process；
2, by every a cycle T start continuous r times temporarily storage real-time image information P, and by in database
The highest real-time image information P replacement storage image information PO of image information PO similarity is stored, is used in the database that timely updates
The facial information at family reduces the influence of age, hair style and user's weight variation to identification qualification result, while passing through positioning unit
Control acquires the height of the video camera of facial picture signal and user's height approaches, and reduces shooting angle to identification qualification result
It influences.
Detailed description of the invention
Present invention is further described in detail in the following with reference to the drawings and specific embodiments.
Fig. 1 is system structure diagram of the invention.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
A kind of identification identification method based on face's intelligent scanning, as shown in Figure 1, including direct picture acquisition unit, side
Face image acquisition units, positioning unit and height acquisition unit, transit module, temporary storage module, database, mobile terminal, control
Device, display module, alarm modules, the direct picture acquisition unit and side image acquisition unit are all connected with transit module and determine
Bit location, positioning unit connect height acquisition unit, and transit module connects temporary storage module and controller, controller and temporary mould
Block, database, display module, alarm modules and execution module connect, and database is connected with mobile terminal.
Wherein, the direct picture acquisition unit is that the positive camera being vertically arranged of user is arranged in a column, is defined
The camera of bottommost is A1, and the camera of highest point is An, and n is the natural number not less than 2, between two neighboring camera
Distance is t, and the height of camera A1 is H, and direct picture acquisition unit is used to acquire face's direct picture information of user；
The side image acquisition unit is the camera being vertically arranged that user side is arranged in a column, defines bottommost
Camera be B1, the camera of highest point is Bn, and n is the natural number not less than 2, and the distance between two neighboring camera is
The height of t, camera B1 are H, and side image acquisition unit is used to acquire face's direct picture information of user；
The height acquisition unit by acquisition user images and is analyzed quickly to obtain the height of user image
Value E, and obtained height values E is transmitted to positioning unit, analysis method surveys height technology or binocular vision using monocular vision
Feel height technology of surveying, this method that height is quickly measured by video camera is well-known technique, therefore is no longer done herein in detail
Thin description, measured height values E are estimated value, and there are certain errors with practical height for meeting, but are reflected in identification of the present invention
Determine within the scope of the allowable error of method；
The positioning unit receives the height values E of height acquisition unit input, and controls direct picture according to height values
The camera operation of respective heights and image information is acquired in acquisition unit and side image acquisition unit, makes to acquire image information
Video camera and user face height one show reduce shooting angle variation to identification identification interference；
The specific positioning step of the positioning unit are as follows:
S1, the height values E for receiving the input of height acquisition unit, E is compared with H and H+nt, fixed as E < H
Bit location controls camera A1 and camera B1 and opens acquisition image information, and as E > H+nt, positioning unit controls camera An
Acquisition image information is opened with camera Bn, as H < E < H+nt, into next step；
S2, D=∣ H+kt-E ∣, 1≤k≤n are defined, k is natural number, calculates the value of k when D minimum；
It S3, positioning unit control direct picture acquisition unit and camera Ak corresponding on side image acquisition unit and takes the photograph
As head Bk opens acquisition image information.
The transit module is for receiving direct picture acquisition unit face's direct picture information collected and side view
As acquisition unit face's side image information collected, by face's direct picture information of a user and face's side image
Information package is respectively sent to temporary storage module and controller as real-time image information P, by real-time image information P；
The database is used to store the facial image information of user, for the convenience of description, defining the user in database
Facial image information is storage image information PO；
The mobile terminal is used to acquire the face's direct picture information and face's side image information of user, and will be adopted
The face's direct picture information and face's side image information package of collection are sent to database as storage image information PO；
The controller is compared with the real-time image information P that will be received with the storage image information PO in database
And obtain similarity numerical value S, and set an a reference value F, as similarity numerical value S >=F, then confirms and be detected user and database
It is same people that middle retrieved message, which corresponds to user, as similarity numerical value S < F, then it is assumed that is detected in user and database
It is same people that retrieved message, which corresponds to user not, is identified by staff by other identification identification modes, controller
It is specific comparison steps are as follows:
Step 1: it will be stored in image information PO in face's side image information and date library in real-time image information P
Face's side image information be compared, identified according to face recognition algorithms in the prior art, when identification passes through
Profile information, dimension information and color information are judged；
Step 2: multiple facial images to be selected are filtered out from database according to face's side image information comparison；
Step 3: by being stored in image information PO in face's direct picture information and date library in real-time image information P
Face's direct picture information be compared, i satisfactory face informations are obtained, as i=1, directly by realtime graphic
Information P is compared with storage image information PO and obtains similarity numerical value S, and as i ≠ 1, controller controls alarm modules hair
Alarm out, wherein controller transmits real-time image information P with the multiple storage image information PO being retrieved as i > 1
To display module, further detected by staff by naked eyes or other detection methods.
As further scheme of the invention, face's direct picture information in image information PO is stored in the database
Multiple regions are divided into according to identical preset rules, it, will be in storage image information PO from one embodiment of the present of invention
Face's direct picture information is divided into forehead characteristic area, eyebrow characteristic area, nose characteristic area, mouth characteristic area and ear
Piece characteristic area, and corresponding to be divided into forehead characteristic area, eyebrow special by face's direct picture information in real-time image information P
Region, nose characteristic area, mouth characteristic area and ear characteristic area are levied, when carrying out face's direct picture information comparison,
It is successively compared with one of characteristic area to be gradually reduced search range, while the calculation amount of controller reduces, and has
Conducive to the quick progress of identification qualification process；
The controller is also connected with execution module, and execution module is used to execute the instruction identified after passing through, including but
It is not limited to the switch of door and the browse right of encryption information.
The temporary storage module starts continuous r times temporarily storage real-time image information P every a cycle T, and will be with data
The highest real-time image information P replacement storage image information PO of storage image information PO similarity in library, in this way can be timely
The facial information of user in more new database reduces the influence of age, hair style and user's weight variation to identification qualification result, benefit
The specific steps of storage image information PO are replaced with real-time image information P are as follows:
S1, after reaching a cycle T, by first time acquisition user real-time image information be defined as P1 after be stored in
In temporary storage module, controller obtains similarity numerical value S1 after comparing P1 and PO；
S2, the real-time image information of second of acquisition is defined as to P2, controller obtains similarity after comparing P2 and PO
S2 is compared by numerical value S2 with S1, and the corresponding real-time image information of smaller value is deleted from temporary storage module, and will be compared with
It is worth corresponding real-time image information greatly to be stored in temporary storage module；
R S3, continuous acquisition real-time image information P, obtain final real-time figure according to the comparison method in previous step
As information Pj；
S4, by the storage image information PO in Pj replacement data library.
Degree similar to image information PO is stored in database in the r sample acquired by comparing in above-mentioned process
The maximum real-time image information Pj of value S, and Pj is replaced into storage image information PO, multiple sample informations, which are compared, can reduce
The error of user's real-time image information P of acquisition, makes the real-time image information Pj finally determined more be bonded the practical shape of user
State.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (4)
1. a kind of identification identification method based on face's intelligent scanning, which is characterized in that including direct picture acquisition unit, side
Image acquisition units, positioning unit and height acquisition unit, transit module, temporary storage module, database, mobile terminal, controller,
Display module, alarm modules, the direct picture acquisition unit and side image acquisition unit are all connected with transit module and positioning
Unit, positioning unit connection height acquisition unit, transit module connection temporary storage module and controller, controller and temporary storage module,
Database, display module, alarm modules and execution module connect, and database is connected with mobile terminal；
Wherein, the direct picture acquisition unit is that the positive camera being vertically arranged of user is arranged in a column, defines most bottom
The camera in portion is A1, and the camera of highest point is An, and n is the natural number not less than 2, the distance between two neighboring camera
For t, the height of camera A1 is H, and direct picture acquisition unit is used to acquire face's direct picture information of user；
The side image acquisition unit is the camera being vertically arranged that user side is arranged in a column, defines taking the photograph for bottommost
Picture head is B1, and the camera of highest point is Bn, and n is the natural number not less than 2, and the distance between two neighboring camera is t, is taken the photograph
As the height of head B1 is H, side image acquisition unit is used to acquire face's direct picture information of user；
The height acquisition unit passes through acquisition user images and is analyzed image to obtain the height values E of user, and will
Obtained height values E is transmitted to positioning unit；
The positioning unit receives the height values E of height acquisition unit input, and direct picture acquisition is controlled according to height values
The camera operation of respective heights and image information is acquired in unit and side image acquisition unit, makes to acquire taking the photograph for image information
Camera is consistent with the height of user face；
The specific positioning step of the positioning unit are as follows:
S1, the height values E for receiving the input of height acquisition unit, E is compared with H and H+nt, and as E < H, positioning is single
Member control camera A1 and camera B1 opens acquisition image information, and as E > H+nt, positioning unit controls camera An and takes the photograph
Image information is acquired as head Bn is opened, as H < E < H+nt, into next step；
S2, D=∣ H+kt-E ∣, 1≤k≤n are defined, k is natural number, calculates the value of k when D minimum；
S3, positioning unit control direct picture acquisition unit and camera Ak corresponding on side image acquisition unit and camera
Bk opens acquisition image information；
The transit module is adopted for receiving direct picture acquisition unit face's direct picture information collected with side image
Collect unit face's side image information collected, by face's direct picture information of a user and face's side image information
It is packaged and is used as real-time image information P, real-time image information P is respectively sent to temporary storage module and controller；
The database is used to store the facial image information of user, and defining the user's face image information in database is storage
Image information PO；
The mobile terminal is used to acquire the face's direct picture information and face's side image information of user, and will be collected
Face's direct picture information and face's side image information package are used as storage image information PO to be sent to database；
The controller is compared and obtains with the real-time image information P that will be received with the storage image information PO in database
Similarity numerical value S out sets an a reference value F, as similarity numerical value S >=F, then confirms to be detected in user and database and retrieve
It is same people that information out, which corresponds to user, as similarity numerical value S < F, then it is assumed that is detected in user and database and retrieves
Information to correspond to user not be same people；
The controller is connected with execution module, and execution module is used to execute the instruction after identification passes through, including but not limited to
The switch of door and the browse right of encryption information；
The temporary storage module every a cycle T start continuous r times temporarily storage real-time image information P, and will in database
Storage image information PO similarity highest real-time image information P replacement storage image information PO, utilize real-time image information P
The specific steps of replacement storage image information PO are as follows:
S1, after reaching a cycle T, by first time acquisition user real-time image information be defined as being stored in after P1 it is temporary
In module, controller obtains similarity numerical value S1 after comparing P1 and PO；
S2, the real-time image information of second of acquisition is defined as to P2, controller obtains similarity numerical value after comparing P2 and PO
S2 is compared by S2 with S1, and the corresponding real-time image information of smaller value is deleted from temporary storage module, and by the larger value
Corresponding real-time image information is stored in temporary storage module；
R S3, continuous acquisition real-time image information P obtain final realtime graphic according to the comparison method in previous step and believe
Cease Pj；
S4, by the storage image information PO in Pj replacement data library.
2. a kind of identification identification method based on face's intelligent scanning according to claim 1, which is characterized in that the number
Forehead characteristic area, eyebrow characteristic area, nose are divided into according to face's direct picture information in image information PO is stored in library
Characteristic area, mouth characteristic area and ear characteristic area, face's direct picture information in the real-time image information P are corresponding
Be divided into forehead characteristic area, eyebrow characteristic area, nose characteristic area, mouth characteristic area and ear characteristic area, into
When row face direct picture information comparison, successively it is compared with one of characteristic area and is gradually reduced search range.
3. a kind of identification identification method based on face's intelligent scanning according to claim 1, which is characterized in that the body
High acquisition unit surveys height technology using monocular vision or binocular vision surveys height technology, and the measurement height values E is estimated value.
4. a kind of identification identification method based on face's intelligent scanning according to claim 1, which is characterized in that the control
Steps are as follows for the specific comparison of device processed:
Step 1: the face that will be stored in face's side image information and date library in real-time image information P in image information PO
Portion's side image information is compared；
Step 2: multiple facial images to be selected are filtered out from database according to face's side image information comparison；
Step 3: the face that will be stored in face's direct picture information and date library in real-time image information P in image information PO
Portion's direct picture information is compared, and i satisfactory face informations is obtained, as i=1, directly by real-time image information P
It is compared with storage image information PO and obtains similarity numerical value S, as i ≠ 1, controller controls alarm modules and issues police
Report, wherein real-time image information P is transmitted to aobvious by controller with the multiple storage image information PO being retrieved as i > 1
Show module, is further detected by staff by naked eyes or other detection methods.
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| CN106022216A (en) * | 2016-05-04 | 2016-10-12 | 薛景森 | Identity automatic identification method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119692A (en) * | 2019-04-19 | 2019-08-13 | 华南理工大学 | A kind of plane portrait detection method based on dual camera |
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