CN205176886U - Novel people's face pattern recognition system - Google Patents
Novel people's face pattern recognition system Download PDFInfo
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- CN205176886U CN205176886U CN201520986231.4U CN201520986231U CN205176886U CN 205176886 U CN205176886 U CN 205176886U CN 201520986231 U CN201520986231 U CN 201520986231U CN 205176886 U CN205176886 U CN 205176886U
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Abstract
The utility model discloses a novel people's face pattern recognition system, its characterized in that: including CCD camera, communication media processor, microprocessor, input device and LCD display module, CCD camera output end links to each other with communication media processor, and the media processor output links to each other with microprocessor, and the microprocessor input still links to each other with input device, and the microprocessor output links to each other with the LCD display module. The utility model discloses simple structure, portable, simple operation, aero, disguised good.
Description
Technical field
The utility model relates to image identification technical field, particularly relates to a kind of novel face pattern recognition system.
Background technology
The eighties in 20th century face recognition technology rise, and develops new technology rapidly, be widely used in the fields such as security protection at present after the nineties.Automatic face recognition technology is a kind of biological identification technology carrying out identification based on the face feature information of people.Image or the video flowing of face is contained with video camera or camera collection, and automatic detection and tracking face in the picture, and then the face detected is carried out to a series of correlation techniques of face, carry out Identification of Images, face recognition.
Recognition of face, as a branch of biological identification technology, refers to and utilizes computing machine to analyze facial image, therefrom extract effective identifying information, and then is used for differentiating a special kind of skill of identity.Recognition of face has easy to operate, and user is easy to accept, the advantages such as trace ability is strong afterwards.Because the complexity of face recognition algorithms is high, operand is large, current most face identification system is Based PC platform development.And along with in all trades and professions to the requirement of the portability of face identification system, embedded platform carries out transplanting and optimize to face recognition algorithms, and then realizes embedded human face recognition system there is realistic meaning.
Utility model content
Because the above-mentioned defect of prior art, technical problem to be solved in the utility model is to provide a kind of novel face pattern recognition system, its structure is simple, be easy to carry, simple operation, visual result, good concealment.
For achieving the above object, the utility model provides a kind of novel face pattern recognition system, it is characterized in that: comprise ccd video camera, communication medium processor, microprocessor, input equipment and LCD display module, described ccd video camera output terminal is connected with communication medium processor, described Media Processor output terminal is connected with microprocessor, described microprocessor input is also connected with input equipment, and described output end of microprocessor is connected with LCD display module.
The novel face pattern recognition system of above-mentioned one, is characterized in that: described Media Processor adopts Hi3510 module.
The novel face pattern recognition system of above-mentioned one, is characterized in that: described microprocessor is TMS320DM6446 chip.
The novel face pattern recognition system of above-mentioned one, is characterized in that: described input equipment is button or touch-screen.
The beneficial effects of the utility model are:
The utility model structure is simple, be easy to carry, simple operation, visual result, good concealment.
Be described further below with reference to the technique effect of accompanying drawing to design of the present utility model, concrete structure and generation, to understand the purpose of this utility model, characteristic sum effect fully.
Accompanying drawing explanation
Fig. 1 is structured flowchart of the present utility model.
Embodiment
As shown in Figure 1, a kind of novel face pattern recognition system, it is characterized in that: comprise ccd video camera 1, communication medium processor 2, microprocessor 3, input equipment 4 and LCD display module 5, described ccd video camera 1 output terminal is connected with communication medium processor 2, described Media Processor 2 output terminal is connected with microprocessor 3, described microprocessor 3 input end is also connected with input equipment 4, and described microprocessor 3 output terminal is connected with LCD display module 5.
In the present embodiment, described Media Processor 2 adopts Hi3510 module.
In the present embodiment, described microprocessor 3 is TMS320DM6446 chip.
In the present embodiment, described input equipment 4 is button or touch-screen.
Face identification system of the present utility model mainly comprises four ingredients, is respectively: man face image acquiring and detection, facial image pre-service, facial image feature extraction and matching and recognition.
(1) man face image acquiring and detection:
Man face image acquiring: native system gathers different facial images by ccd video camera, can gather diverse location, the still image of different expression and dynamic image.When user is in the coverage of collecting device, collecting device is understood automatic search and is taken the facial image of user.
Face datection: native system carries out the pre-service of recognition of face to Face datection image, accurate calibration goes out position and the size of face in the picture.
(2) facial image pre-service: the Image semantic classification for face is based on Face datection result, carries out processing to image and finally serves the process of feature extraction.The original image that system obtains, owing to being subject to restriction and the random disturbance of various condition, often directly can not using, must carry out Image semantic classification at the commitment of image procossing to it.
(3) feature extraction: the spendable feature of face identification system is divided into visual signature, pixels statistics feature, facial image conversion coefficient feature, facial image algebraic characteristic etc. usually.Face characteristic extracts and carries out for some feature of face.
(4) matching and recognition: characteristic and the feature templates stored in database of the facial image of extraction carry out search and mate, by setting a threshold value, when similarity exceedes this threshold value, then exports mating the result obtained.Recognition of face is exactly face characteristic to be identified and the skin detection obtained are compared, and judges according to the identity information of similarity degree to face.This process is divided into again two classes: a class be confirm, be carry out one to one image ratio compared with process, another kind of be identification, be the process that one-to-many carries out images match contrast.
The utility model compares recognition of face with the bio-identification of other type and has following features:
1. non-imposed: user does not need to coordinate face collecting device specially, almost under unconscious state, just can obtain facial image, such sampling mode does not have " mandatory ";
2. untouchable: user does not need directly to contact with equipment just can obtain facial image;
3. concurrency: the sorting of multiple face, judgement and identification can be carried out under practical application scene;
In addition, also meet visual characteristic: the characteristic of " knowing people with looks ", and the feature such as simple to operate, visual result, good concealment.
More than describe preferred embodiment of the present utility model in detail.Should be appreciated that those of ordinary skill in the art just can make many modifications and variations according to design of the present utility model without the need to creative work.Therefore, all technician in the art according to design of the present utility model on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment, all should by the determined protection domain of claims.
Claims (4)
1. a novel face pattern recognition system, it is characterized in that: comprise ccd video camera (1), communication medium processor (2), microprocessor (3), input equipment (4) and LCD display module (5), described ccd video camera (1) output terminal is connected with communication medium processor (2), described Media Processor (2) output terminal is connected with microprocessor (3), described microprocessor (3) input end is also connected with input equipment (4), and described microprocessor (3) output terminal is connected with LCD display module (5).
2. a kind of novel face pattern recognition system as claimed in claim 1, is characterized in that: described Media Processor (2) adopts Hi3510 module.
3. a kind of novel face pattern recognition system as claimed in claim 1, is characterized in that: described microprocessor (3) is TMS320DM6446 chip.
4. a kind of novel face pattern recognition system as claimed in claim 1, is characterized in that: described input equipment (4) is button or touch-screen.
Priority Applications (1)
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CN201520986231.4U CN205176886U (en) | 2015-12-03 | 2015-12-03 | Novel people's face pattern recognition system |
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CN201520986231.4U CN205176886U (en) | 2015-12-03 | 2015-12-03 | Novel people's face pattern recognition system |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108039007A (en) * | 2017-12-26 | 2018-05-15 | 北斗七星(重庆)物联网技术有限公司 | A kind of safety protection method and device |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108039007A (en) * | 2017-12-26 | 2018-05-15 | 北斗七星(重庆)物联网技术有限公司 | A kind of safety protection method and device |
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Granted publication date: 20160420 Termination date: 20181203 |
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