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Face detection and recognition method based on skin color segmentation and template matching

A recognition method and face detection technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of low recognition rate of face detection and recognition algorithms, influence of skin-like background, and large amount of calculation.

Inactive Publication Date: 2014-03-12
GUANGXI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0004] The present invention provides a face detection and recognition method based on skin color segmentation and template matching, aiming to solve the large amount of calculation of face detection and recognition algorithms based on template matching provided by the prior art and the recognition of face detection and recognition algorithms based on skin color segmentation. Low rate, easily affected by skin-like background

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  • Face detection and recognition method based on skin color segmentation and template matching
  • Face detection and recognition method based on skin color segmentation and template matching
  • Face detection and recognition method based on skin color segmentation and template matching

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[0105] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the invention.

[0106] figure 1 It shows the implementation process of the face detection and recognition method based on skin color segmentation and template matching provided by the embodiment of the present invention.

[0107] The face detection and recognition method comprises the following steps:

[0108] Step 1, using two-dimensional multi-scale discrete orthogonal wavelet transform to perform non-uniform illumination compensation on the collected face image;

[0109] Step 2, according to the clustering characteristics of human skin color in the YCbCr color space, the human face is segmented by using the mixed...

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Abstract

The invention discloses a face detection and recognition method based on skin color segmentation and template matching. A face is segmented with the use of a face skin mixing Gauss model according to the clustering characteristics of face skin color in an YCbCr color space and a region of which the color is close to face skin color is separated from an image so as to achieve the purpose of quickly detecting the outer face of a face. A light compensation technology is used to overcome the influence of brightness on face detection and recognition. Adaptive template matching is used to overcome the influence of a skin-color-alike background on face detection and recognition. A secondary matching algorithm is adopted to reduce the amount of computation during the matching process, and singular value features of a face image are extracted to recognize a face and achieve the purpose of reducing the number of dimensions of a characteristic value matrix in the process of face feature extraction. The face detection and recognition method can quickly detect a face, improves the accuracy of face detection and recognition, is strong in practicability and has strong popularization and application values.

Description

technical field [0001] The invention belongs to the field of pattern recognition and artificial intelligence, in particular to a face detection and recognition method based on skin color segmentation and template matching. Background technique [0002] The research on face detection and recognition technology is currently a research hotspot in the field of pattern recognition and artificial intelligence. Computer interaction system, verification of driver's license and passport with the actual licensee, monitoring system and automatic door guard system, etc. With the further development of image processing, pattern recognition, computer vision and neural network and other disciplines, face recognition technology will be greatly developed. [0003] At present, face detection and recognition methods include: (1) Geometric feature method: This type of method mainly detects and recognizes faces based on the geometric shape of the face and the proportional relationship of facial...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 王智文刘美珍罗功坤夏冬雪蔡启先李绍滋唐新来阳树洪刘智徐奕奕
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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