Face recognition method based on multi-resolution multi-threshold local binary pattern

A local binary pattern and face recognition technology, applied in the field of pattern recognition, can solve problems such as difficulty in obtaining the spatial structure information of faces and being easily affected by noise

Inactive Publication Date: 2014-05-07
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0012] 1. The traditional LBP operator is encoded by comparing the size relationship between the neighbor pixels and the center pixel in the local area, which is easily affected by noise;
[0013] 2. The local binary mode is difficult to obtain the spatial structure information of the face. These spatial structure informati

Method used

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  • Face recognition method based on multi-resolution multi-threshold local binary pattern
  • Face recognition method based on multi-resolution multi-threshold local binary pattern
  • Face recognition method based on multi-resolution multi-threshold local binary pattern

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Embodiment Construction

[0031] A non-limiting embodiment is given below in conjunction with the accompanying drawings to further illustrate the present invention.

[0032] 1. Get MRTLBP features

[0033] (1) Two-level decomposition of the original face image using Haar wavelet to obtain two decomposed images with different resolutions. The first-level resolution images are as follows: figure 2 As shown in (c), the secondary resolution image is as follows figure 2 as shown in (d);

[0034] (2) Divide the first-level decomposition image into 3×3 sub-image blocks of equal size and non-overlapping each other, such as figure 2 As shown in (c), the secondary image does not take the division as a whole as a sub-block, such as figure 2 (d);

[0035] (3) Calculate the LBP characteristic spectrum under two different thresholds for each sub-image block of the first-level decomposition, and obtain the LBP characteristic spectrum under two thresholds for the second-level decomposition image, such as fig...

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Abstract

The invention discloses a face recognition method based on the multi-resolution multi-threshold local binary pattern, and pertains to the technical field of pattern recognition. Through the local binary pattern, spatial structure information of positions of face facial organs is hard to acquire, and at the same time, the LBP operator adopts size relationship between local region neighbour pixels and the central pixel to perform encoding, so the noise effect exists; in order to solve the problems, the method adopts different thresholds to perform LBP image encoding, and finally, face local and overall information is acquired through different division methods, so the MRTLBP characteristic information extraction is more discriminative. The characteristics are used as the face discrimination characteristics for classification and recognition. Classification and recognition are performed by adopting nearest neighbor classification devices. The experimental analysis shows that the method of the invention has good face characteristic expressing capability and has high robustness for illumination, expressions and poses.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a face recognition method based on a multi-resolution multi-threshold local binary pattern (LBP). Background technique [0002] Face recognition is a typical research topic in the fields of pattern recognition, image analysis and understanding, etc. It not only has important theoretical value, but also has important application prospects in security, financial and other fields, so it has been widely received in academia and industry. At present, some practical commercial systems have emerged. However, due to changes in the image acquisition conditions and the attributes of the face itself, the appearance of different photos of the same person may vary greatly, which increases the difficulty of recognition. Therefore, improving the robustness of face recognition systems to these changes has become one of the important goals of researchers in this field. [0003] Wave...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00
Inventor 李伟生付鹏王立逗周丽芳
Owner CHONGQING UNIV OF POSTS & TELECOMM
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