CN105469074A - Face recognition algorithm based on singular value decomposition - Google Patents
Face recognition algorithm based on singular value decomposition Download PDFInfo
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- CN105469074A CN105469074A CN201510977207.9A CN201510977207A CN105469074A CN 105469074 A CN105469074 A CN 105469074A CN 201510977207 A CN201510977207 A CN 201510977207A CN 105469074 A CN105469074 A CN 105469074A
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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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
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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Abstract
The invention discloses a face recognition algorithm based on singular value decomposition, comprising following steps: 1), determining a target region, dividing the target region into a five sense organ recognition region and a skin color recognition region; 2), recognizing the five sense organ recognition region, extracting the contained five sense organs; 3), recognizing the skin color recognition region, extracting the contained skin colors; 4), carrying out one-one mapping to five sense organ recognition features and skin color recognition features so as to construct the specific recognition features of the target region; 5), storing the specific recognition features forming the target region in a database, wherein the database is used for storing all specific recognition features; 6), carrying out screening recognition to the database by the Fourier algorithm. According to the invention, the accuracy and generality of the face recognition algorithm based on singular value decomposition are improved by using the brand new algorithm structure design.
Description
Technical field
The present invention relates to algorithm field, specifically, be related specifically to a kind of face recognition algorithms based on svd.
Background technology
After face being detected and locate facial key feature points, main human face region just can be out cropped, after pre-service, and the recognizer of feed-in rear end.Recognizer will complete the extraction of face characteristic, and compares with the known face of stock, completes final classification.
Summary of the invention
The object of the invention is to for deficiency of the prior art, a kind of face recognition algorithms based on svd is provided, to solve the problem.
Technical matters solved by the invention can realize by the following technical solutions:
Based on a face recognition algorithms for svd, comprise the steps:
1) determine target area, described target area is divided into face identified region and skin color model region;
2) described face identified region is identified, extract the face wherein comprised;
3) described skin color model region is identified, extract the colour of skin wherein comprised;
4) described face recognition feature and skin color model feature are mapped one by one the specific identification feature forming target area.
5) by the specific identification feature of described formation target area stored in database, described database is for preserving all specific identification features.
6) adopt Fourier algorithm to carry out screening to database to identify.
Further, the target area in described step 1) is provided with 1 to 2.
Further, the database in described step 5) is based on windows platform.
Compared with prior art, beneficial effect of the present invention is as follows:
By adopting brand-new algorithm structure design, improve the accuracy based on the face recognition algorithms of svd and wide usage.
Embodiment
The technological means realized for making the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with embodiment, setting forth the present invention further.
A kind of face recognition algorithms based on svd of the present invention, comprises the steps:
1) determine target area, described target area is divided into face identified region and skin color model region;
2) described face identified region is identified, extract the face wherein comprised;
3) described skin color model region is identified, extract the colour of skin wherein comprised;
4) described face recognition feature and skin color model feature are mapped one by one the specific identification feature forming target area.
5) by the specific identification feature of described formation target area stored in database, described database is for preserving all specific identification features.
6) adopt Fourier algorithm to carry out screening to database to identify.
Target area in described step 1) is provided with 1 to 2.Database in described step 5) is based on windows platform.By adopting above-mentioned technology, further increase accuracy and the wide usage of the face recognition algorithms based on svd of the present invention.
More than show and describe ultimate principle of the present invention and principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection domain is defined by appending claims and equivalent thereof.
Claims (3)
1.
based on a face recognition algorithms for svd, it is characterized in that, comprise the steps:
1) determine target area, described target area is divided into face identified region and skin color model region;
2) described face identified region is identified, extract the face wherein comprised;
3) described skin color model region is identified, extract the colour of skin wherein comprised;
4) described face recognition feature and skin color model feature are mapped one by one the specific identification feature forming target area;
5) by the specific identification feature of described formation target area stored in database, described database is for preserving all specific identification features.
6) adopt Fourier algorithm to carry out screening to database to identify.
2.
a kind of face recognition algorithms based on svd according to claim 1, it is characterized in that, the target area in described step 1) is provided with 1 to 2.
3.
a kind of face recognition algorithms based on svd according to claim 1, it is characterized in that, the database in described step 5) is based on windows platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510977207.9A CN105469074A (en) | 2015-12-23 | 2015-12-23 | Face recognition algorithm based on singular value decomposition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510977207.9A CN105469074A (en) | 2015-12-23 | 2015-12-23 | Face recognition algorithm based on singular value decomposition |
Publications (1)
| Publication Number | Publication Date |
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| CN105469074A true CN105469074A (en) | 2016-04-06 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201510977207.9A Pending CN105469074A (en) | 2015-12-23 | 2015-12-23 | Face recognition algorithm based on singular value decomposition |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038438A (en) * | 2017-12-06 | 2018-05-15 | 广东世纪晟科技有限公司 | Multi-source face image joint feature extraction method based on singular value decomposition |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103914689A (en) * | 2014-04-09 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Picture cropping method and device based on face recognition |
| US20140336479A1 (en) * | 2013-05-07 | 2014-11-13 | Hideo Ando | Detection method of life activity, measuring device of life activity, transmission method of life activity detection signal, or service based on life activity information |
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2015
- 2015-12-23 CN CN201510977207.9A patent/CN105469074A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140336479A1 (en) * | 2013-05-07 | 2014-11-13 | Hideo Ando | Detection method of life activity, measuring device of life activity, transmission method of life activity detection signal, or service based on life activity information |
| CN103914689A (en) * | 2014-04-09 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Picture cropping method and device based on face recognition |
Non-Patent Citations (2)
| Title |
|---|
| 刘艳艳等: ""结合奇异值和形态学的人脸特征提取"", 《现代计算机（专业版）》 * |
| 贾西贝: ""基于曲波变换的人脸识别算法研究"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038438A (en) * | 2017-12-06 | 2018-05-15 | 广东世纪晟科技有限公司 | Multi-source face image joint feature extraction method based on singular value decomposition |
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Application publication date: 20160406 |