CN110533002A - Big data processing method based on recognition of face - Google Patents
Big data processing method based on recognition of face Download PDFInfo
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- CN110533002A CN110533002A CN201910842286.0A CN201910842286A CN110533002A CN 110533002 A CN110533002 A CN 110533002A CN 201910842286 A CN201910842286 A CN 201910842286A CN 110533002 A CN110533002 A CN 110533002A
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- 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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
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- 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
The big data processing method based on recognition of face that the present invention provides a kind of, comprising: facial image is acquired by camera；Pretreatment is carried out to facial image and obtains clearly facial image；Face characteristic block is extracted from clearly facial image；Face characteristic block, clearly facial image and its corresponding identity information are stored in platform；By face characteristic encrypted communication to recognition of face terminal；Recognition of face terminal receives face characteristic area block, and is stored in face characteristic pool of blocks；The recognition of face terminal regularly updates the face characteristic block issued, and is stored in face characteristic pool of blocks.
Description
Technical field
The big data processing method based on recognition of face that the present invention relates to a kind of.
Background technique
Currently, recognition of face terminal can be divided into online recognition or identified off-line, online recognition acquires face by brush face terminal
Laggard pedestrian's face comparison, is affected, customer experience is poor by network.Identified off-line, general platform issue whole face informations
To recognition of face terminal, voluntarily compared by recognition of face terminal.
But face information is directly issued to the problem of recognition of face terminal by back-end platform and is that information security, it may
There are problems that face information leakage, such as after recognition of face terminal is cracked, it is possible to cause the face information of all personnel
Leakage.
Summary of the invention
The big data processing method based on recognition of face that the present invention provides a kind of, can effectively solve the above problems.
The present invention is implemented as follows:
A kind of big data processing method based on recognition of face, comprising the following steps:
Facial image is acquired by camera；
Pretreatment is carried out to the facial image and obtains clearly facial image；
Face characteristic block is extracted from the clearly facial image, wherein the face characteristic block includes eyes
At least one of block, jaw block, lip block, eyebrow block and nose block；
The face characteristic block, the clearly facial image and its corresponding identity information are stored in platform,
And the face characteristic block is bound with the clearly facial image and corresponding identity information and is established unique
Mapping relations；
By the face characteristic encrypted communication to recognition of face terminal；
The recognition of face terminal receives the face characteristic block, and is stored in face characteristic pool of blocks；
The recognition of face terminal regularly updates the face characteristic block issued, and is stored in face characteristic pool of blocks.
It is described that the step of pretreatment obtains clearly facial image is carried out to the facial image as further improved
Include:
The facial image of the acquisition is identified by the recognition of face frame on the camera；
By the recognition of face frame of the setting coordinate of the light window that exposes oneself of the facial image of the identification and the camera
Coordinate it is consistent, and the light window that exposes oneself is greater than the recognition of face frame；
According to the intensity of bias light, the exposure value of the corresponding light window that exposes oneself of adaptive configuration, to carry out corresponding exposure
Light, it is final to obtain clearly facial image.
It is described that the step of pretreatment obtains clearly facial image is carried out to the facial image as further improved
Include:
The facial image of the acquisition is identified by the recognition of face frame on the camera；
By the recognition of face frame of the setting coordinate of the light window that exposes oneself of the facial image of the identification and the camera
Coordinate it is consistent, and the light window that exposes oneself is greater than the recognition of face frame；
According to the intensity of bias light, the exposure value of the corresponding light window that exposes oneself of adaptive configuration, to carry out corresponding exposure
Light, it is final to obtain clearly facial image.
As further improved, the light window that exposes oneself is 1.1~2 times of the recognition of face frame.
As further improved, the length of the light window that exposes oneself is greater than the length of the recognition of face frame, to obtain
Obtain lower jaw photo.
It is described to include: by face characteristic encrypted communication to the step of recognition of face terminal as further improved
The face characteristic block periodic transmission is updated into the list into recognition of face terminal to transmit by optical gate
It is distributed as under direction.
The beneficial effects of the present invention are: by the face characteristic block, rather than entire face information is transferred to face knowledge
Other terminal is simultaneously stored in face characteristic pool of blocks, even if after recognition of face terminal is cracked, since whole face can not be restored,
Therefore it can be realized the safety for effectively ensuring face information, in addition it can avoid the occurrence of the corresponding personal information of facial image
Leakage.In addition, by the recognition of face frame of the setting coordinate of the light window that exposes oneself of the facial image of the identification and the camera
Coordinate it is consistent, and the light window that exposes oneself is greater than the recognition of face frame, it is hereby achieved that more complete face figure
Picture, the especially image of lower jaw block；In addition, according to the intensity of bias light, the exposure of the corresponding light window that exposes oneself of adaptive configuration
Light value, so that corresponding exposure is carried out, it is final to obtain clearly facial image.
Detailed description of the invention
It, below will be to use required in embodiment in order to illustrate more clearly of the technical solution of embodiment of the present invention
Attached drawing be briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not to be seen as
It is the restriction to range, it for those of ordinary skill in the art, without creative efforts, can be with root
Other relevant attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow chart of the big data processing method provided in an embodiment of the present invention based on recognition of face.
Fig. 2 recognition of face frame and is exposed oneself in the big data processing method provided in an embodiment of the present invention based on recognition of face
The schematic diagram of light window setting.
Fig. 3 be another embodiment of the present invention provides the big data processing method based on recognition of face in recognition of face frame and
The schematic diagram of the light window that exposes oneself setting.
Specific embodiment
To keep the purposes, technical schemes and advantages of embodiment of the present invention clearer, implement below in conjunction with the present invention
The technical solution in embodiment of the present invention is clearly and completely described in attached drawing in mode, it is clear that described reality
The mode of applying is some embodiments of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ability
Domain those of ordinary skill every other embodiment obtained without creative efforts, belongs to the present invention
The range of protection.Therefore, the detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit below and is wanted
The scope of the present invention of protection is sought, but is merely representative of selected embodiment of the invention.Based on the embodiment in the present invention,
Every other embodiment obtained by those of ordinary skill in the art without making creative efforts belongs to this
Invent the range of protection.
Shown in referring to Fig.1, the embodiment of the present invention provides a kind of big data processing method based on recognition of face, including following
Step:
A kind of big data processing method based on recognition of face, comprising the following steps:
S1 acquires facial image by camera；
S2 carries out pretreatment to the facial image and obtains clearly facial image；
S3 extracts face characteristic block, wherein the face characteristic block includes eye from the clearly facial image
At least one of eyeball block, jaw block, lip block, eyebrow block and nose block；
The face characteristic block, the clearly facial image and its corresponding identity information are stored in platform by S4
In, and the face characteristic block is bound with the clearly facial image and corresponding identity information and is established only
One mapping relations；
S5, by the face characteristic encrypted communication to recognition of face terminal；
S6, the recognition of face terminal receives the face characteristic block, and is stored in face characteristic pool of blocks；
S7, the recognition of face terminal regularly updates the face characteristic block issued, and is stored in face characteristic pool of blocks
In.
In step s 2, described pretreatment is carried out to the facial image to obtain clearly people as further improved
The step of face image includes:
S21 identifies the facial image of the acquisition by the recognition of face frame on the camera；
S22, by the recognition of face of the setting coordinate of the light window that exposes oneself of the facial image of the identification and the camera
The coordinate of frame is consistent, and the light window that exposes oneself is greater than the recognition of face frame；
S23, according to the intensity of bias light, the exposure value of the corresponding light window that exposes oneself of adaptive configuration, to be corresponded to
Exposure, it is final to obtain clearly facial image.
In the step s 21, the size of Generic face identification frame is all difficult to cover the size of whole face, especially lower jaw portion
Point.
In step S22, by the setting coordinate of the light window that exposes oneself of the facial image of the identification and the camera
The coordinate of recognition of face frame is consistent, that is, the light window that exposes oneself is total to origin and X-axis and Y-axis with the recognition of face frame.As into one
Walk improved, the light window that exposes oneself can be 1.1~2 times of the recognition of face frame.Referring to shown in Fig. 2, in the present embodiment,
The light window that exposes oneself is 1.69 times of the recognition of face frame, i.e., the length and corresponding 1.3 times of the amplification of money of the described light window that exposes oneself.
Referring to figure 3., in other embodiments, in order to obtain clearly lower jaw photo, it is preferred that can be only by the light window that exposes oneself
Long corresponding 1.3 times of amplification.
In step S23, the method for the automatic exposure is that the prior art is not stated again tired.
In step s3, the preferred eyes block of the face characteristic block, this is because eyes block is most identification
Block, and feature is most.Furthermore it is also possible to select lip block.In the present embodiment, eyes block is only selected that.
In step S4, by by the face characteristic block and the clearly facial image and corresponding identity information
Unique mapping relations are bound and are established, clearly facial image and corresponding identity are believed so as to quick obtaining
Breath reduces error rate.
In step s 5, the face characteristic block can periodically be passed by wireless communication module or wire communication module
Defeated update is into recognition of face terminal.Described update the face characteristic block periodic transmission into recognition of face terminal is single
It is distributed as, can be transmitted by the way that unidirectional optical gate is arranged under direction.
After step s 7, can further comprise:
S8, the recognition of face terminal extract the face characteristic block of facial image to be identified, and will be described to be identified
The face characteristic block of facial image be compared respectively with the face characteristic block in the face characteristic pool of blocks, when than
When to success, the clearly facial image and its corresponding identity information to match with the facial image to be identified is obtained.
In step s 8, as further improved, the face characteristic block by the facial image to be identified
The step of being compared respectively with the face characteristic block in the face characteristic pool of blocks include:
S81, by the eyes block of the facial image to be identified respectively with the eyes in the face characteristic pool of blocks
Block is compared.
In one of the embodiments, the face characteristic block by facial image to be identified respectively with the face
Face characteristic block in feature pool of blocks is compared, and when comparing successfully, obtains and the facial image phase to be identified
The step of matched clearly facial image and its corresponding identity information includes:
S82-1, when at least one face characteristic block in the facial image to be identified and the face characteristic pool of blocks
In at least one face characteristic block when comparing successfully, control the recognition of face terminal to the platform and send the first request；
S82-2, the platform receive described first request when, Xiang Suoshu recognition of face terminal issue it is corresponding clearly
Facial image；
S82-3, the recognition of face terminal compare the clearly facial image issued with facial image to be identified
It is right, the recognition of face terminal is controlled after comparing successfully to the platform and sends the second request, and the platform receives described
When the second request, Xiang Suoshu recognition of face terminal issues corresponding identity information；Otherwise the recognition of face terminal continues institute
State the face characteristic block of facial image to be identified respectively with other face characteristic area blocks in the face characteristic pool of blocks
It is compared.
In step S82-3, the recognition of face terminal continues the face characteristic area of the facial image to be identified
While block is compared with other face characteristic area blocks in the face characteristic pool of blocks respectively further include:
S82-4, by the clearly facial image issued from the recognition of face terminal deletion.
In another embodiment, the face characteristic block by facial image to be identified respectively with the face characteristic
Face characteristic block in pool of blocks is compared, and when comparing successfully, acquisition matches with the facial image to be identified
Clearly facial image and its corresponding identity information the step of include:
S83-1, when at least one face characteristic block in the facial image to be identified and the face characteristic pool of blocks
In at least one face characteristic block when comparing successfully, the recognition of face terminal sends the people to be identified to the platform
Face image and the successful face characteristic block of comparison；
S83-2, the platform obtain corresponding clearly facial image according to successful face characteristic block is compared；
S83-3, the platform further carry out corresponding clearly facial image and the facial image to be identified
It compares, issues the clearly people to match with the facial image to be identified to the recognition of face terminal after comparing successfully
Face image and its corresponding identity information；Otherwise it issues and continues the facial image to be identified to the recognition of face terminal
The order that is compared respectively with other face characteristic area blocks in the face characteristic pool of blocks of face characteristic block.
The foregoing is merely the preferred embodiment of the present invention, are not intended to restrict the invention, for this field
For technical staff, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (5)
1. a kind of big data processing method based on recognition of face characterized by comprising
Facial image is acquired by camera；
Pretreatment is carried out to the facial image and obtains clearly facial image；
From the clearly facial image extract face characteristic block, wherein the face characteristic block include eyes block,
At least one of jaw block, lip block, eyebrow block and nose block；
The face characteristic block, the clearly facial image and its corresponding identity information are stored in platform, and will
The face characteristic block, which is bound and established with the clearly facial image and corresponding identity information, uniquely to be reflected
Penetrate relationship；
By the face characteristic encrypted communication to recognition of face terminal；
The recognition of face terminal receives the face characteristic block, and is stored in face characteristic pool of blocks；
The recognition of face terminal regularly updates the face characteristic block issued, and is stored in face characteristic pool of blocks.
2. the big data processing method based on recognition of face as described in claim 1, which is characterized in that described to the face
Image carries out pre-processing the step of obtaining clearly facial image
The facial image of the acquisition is identified by the recognition of face frame on the camera；
By the seat of the setting coordinate of the light window that exposes oneself of the facial image of the identification and the recognition of face frame of the camera
Mark is consistent, and the light window that exposes oneself is greater than the recognition of face frame；
According to the intensity of bias light, the exposure value of the corresponding light window that exposes oneself of adaptive configuration, to carry out corresponding exposure, most
Clearly facial image is obtained eventually.
3. the big data processing method based on recognition of face as claimed in claim 2, which is characterized in that the light window that exposes oneself
It is 1.1~2 times of the recognition of face frame.
4. the big data processing method based on recognition of face as claimed in claim 2, which is characterized in that the light window that exposes oneself
Length be greater than the recognition of face frame length, to obtain lower jaw photo.
5. the big data processing method based on recognition of face as described in claim 1, which is characterized in that described by face characteristic
Encrypted communication includes: to the step of recognition of face terminal
The face characteristic block periodic transmission is updated into the one direction into recognition of face terminal to transmit by optical gate
Under be distributed as.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109214310A (en) * | 2018-08-16 | 2019-01-15 | 安徽超清科技股份有限公司 | Improve the method and face identification system of recognition of face efficiency |
| CN111614638A (en) * | 2020-05-08 | 2020-09-01 | 快猪侠信息技术(杭州)有限公司 | Face recognition data distribution system and method based on big data platform |
| CN112232206A (en) * | 2020-10-16 | 2021-01-15 | 陈晶晶 | Face recognition method and face recognition platform based on big data and artificial intelligence |
| CN114998979A (en) * | 2022-08-01 | 2022-09-02 | 中国通信建设第三工程局有限公司 | Intelligent Internet of vehicles system |
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| CN107967458A (en) * | 2017-12-06 | 2018-04-27 | 宁波亿拍客网络科技有限公司 | A kind of face identification method |
| CN110084207A (en) * | 2019-04-30 | 2019-08-02 | 惠州市德赛西威智能交通技术研究院有限公司 | Automatically adjust exposure method, device and the storage medium of face light exposure |
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| US20170053156A1 (en) * | 2015-08-21 | 2017-02-23 | Xiaomi Inc. | Human face recognition method, apparatus and terminal |
| CN107967458A (en) * | 2017-12-06 | 2018-04-27 | 宁波亿拍客网络科技有限公司 | A kind of face identification method |
| CN110084207A (en) * | 2019-04-30 | 2019-08-02 | 惠州市德赛西威智能交通技术研究院有限公司 | Automatically adjust exposure method, device and the storage medium of face light exposure |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109214310A (en) * | 2018-08-16 | 2019-01-15 | 安徽超清科技股份有限公司 | Improve the method and face identification system of recognition of face efficiency |
| CN111614638A (en) * | 2020-05-08 | 2020-09-01 | 快猪侠信息技术(杭州)有限公司 | Face recognition data distribution system and method based on big data platform |
| CN112232206A (en) * | 2020-10-16 | 2021-01-15 | 陈晶晶 | Face recognition method and face recognition platform based on big data and artificial intelligence |
| CN114998979A (en) * | 2022-08-01 | 2022-09-02 | 中国通信建设第三工程局有限公司 | Intelligent Internet of vehicles system |
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