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A texture feature extraction and recognition method for convex-concave patterns in human face images

A technology of texture features and face images, applied in the field of pattern recognition

Active Publication Date: 2018-02-09
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The present invention provides a method for extracting and identifying texture features of convex-convex patterns of human face images, which is used to solve the problem of human face recognition under illumination environment

Method used

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  • A texture feature extraction and recognition method for convex-concave patterns in human face images
  • A texture feature extraction and recognition method for convex-concave patterns in human face images
  • A texture feature extraction and recognition method for convex-concave patterns in human face images

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Embodiment 1

[0033] Embodiment 1: as Figure 1-5 As shown in the figure, a texture feature extraction and recognition method of convex-concave pattern of a face image first divides the image into blocks, and then performs bilinear interpolation on each block image, so that each pixel in the image can construct 8 symmetrical directions, Then calculate the local difference of each pixel in the block image along 8 directions, and encode the convex-concave characteristics of the local difference to obtain the multi-resolution local convex-concave characteristics of this pixel, and calculate the multi-resolution of each pixel in the image block in turn. The local convex-convex characteristics of the resolution are obtained to obtain the multi-resolution local convex-concave characteristic matrix of the image block, and then the histogram feature vector is extracted from the multi-resolution local convex-convex characteristic matrix of the image block to obtain the histogram feature vector of the...

Embodiment 2

[0047] Embodiment 2: as Figure 1-5 As shown in the figure, a texture feature extraction and recognition method of convex-convex pattern of a face image first divides the image into blocks, and then performs bilinear interpolation on each block image, so that each pixel in the image can construct 8 symmetrical directions, Then calculate the local difference of each pixel in the block image along 8 directions, and encode the local difference to obtain the multi-resolution local convex-concave characteristic (Multi-resolution local convex-andconcave pattern, Multi-resolution local convex-concave pattern, Multi- resolution LCCP), calculate the multi-resolution local convex-convex characteristics of each pixel in the image block in turn, and obtain the multi-resolution local convex-convex characteristic matrix (Multi-resolution local convex-and concave pattern matrix, MLCCPM) of the image block, and then image The multi-resolution local convex-convex property matrix (MLCCPM) of th...

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Abstract

The invention relates to a method for extracting and recognizing texture features of a convex-concave pattern of a face image, and belongs to the technical field of pattern recognition. The invention first divides the image into blocks, then performs bilinear interpolation on each divided image, then calculates the local difference of each pixel point in the divided image along 8 directions, and encodes the convex and concave characteristics of the local difference to obtain the image The multi-resolution local convex-concave characteristic matrix of the block, then extract the histogram feature vector of the multi-resolution local convex-concave characteristic matrix of this image block, connect the histogram feature vectors of each block image in turn to obtain the histogram feature vector of the original image, and finally The feature vector is sent to the nearest neighbor classifier based on chi-square statistics for classification and identification. The invention encodes the local convex and concave characteristic of the local difference of the image, and the local convex and concave characteristic indicates a characteristic of the local gray scale fluctuation of the image, has a strong ability to describe the local image texture, and can effectively perform face recognition under the illumination environment.

Description

technical field [0001] The invention relates to a method for extracting and identifying texture features of a convex-convex pattern of a human face image, and belongs to the technical field of pattern recognition. Background technique [0002] Local binary pattern (LBP) [L.Wang and D.C.He, "Texture classification using texture spectrum", Pattern Recognition, vol.23, pp.905-910, 1990.] is an important image feature extraction The operator has the characteristics of small amount of calculation and effective. Although LBP has achieved great success in the fields of computer vision and pattern recognition, its working mechanism still needs to be improved. Dominant local binary patterns (DLBP) [S.Liao, M.W.K.Law, and A.C.S.Chung, "Dominant local binary patterns for texture classification," IEEE Trans.ImageProcess., vol.18, no.5, pp.1107–1118, May 2009.] On the basis of all the LBP modes of the statistical image, the higher frequency modes are screened out, and the high frequenc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
Inventor 陈熙吴帅潘晓露
Owner KUNMING UNIV OF SCI & TECH
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