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High-dimensional local-binary-pattern face identification algorithm and system

A local binary pattern, face recognition technology, applied in the field of face recognition, can solve the problem of not being able to extract global features, and achieve the effect of improving the recognition rate, ensuring the complexity, and increasing the accuracy rate

Inactive Publication Date: 2016-10-12
WUHAN UNIV OF TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a high-dimensional local binary pattern face recognition method and system that can greatly improve the recognition rate of the algorithm in view of the defects that the global features cannot be extracted in the prior art

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, 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 present invention.

[0047] Such as figure 1 As shown, the high-dimensional local binary pattern face recognition algorithm of the embodiment of the present invention comprises the following steps:

[0048] S1. Obtain a face image, and preprocess it to obtain a grayscale image of the same size; the method of preprocessing to obtain a grayscale image is specifically:

[0049] Let the distribution of the local texture V of the face grayscale image be:

[0050] V=v(g c g 0 …g p-1 g)

[0051] Among them, g c Represents the central threshold of the window, g i (i=0,2...p-1) represents the gray value of pixels in ...

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Abstract

The invention discloses a high-dimensional local-binary-pattern face identification algorithm and system. The algorithm is implemented by the following steps: S1, a face image is obtained and pretreatment is carried out on the face image to obtain a grayscale image having a same size; S2, HDLBP feature extraction is carried out on the grayscale image after pretreatment, thereby obtaining a corresponding feature image; S3, a histogram of the feature image is extracted to obtain a corresponding feature vector; and S4, according to the feature vector, comparison with information in a feature database is carried out to obtain an identification result. According to the invention, a local feature and a global feature of an image are extracted, so that the identification rate of the algorithm is improved substantially; and the accuracy of the image identification is increased on the premise that the algorithm complexity is low.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face recognition method and system of a high-dimensional local binary pattern. Background technique [0002] Local Binary pattern (LBP) algorithm, as a face recognition algorithm, is an algorithm that relies on local texture description proposed by Ojala and Ahonen et al. in 1996, and is used to describe pixels and pixels in their neighborhood. The numerical relationship between points is widely used in the field of face recognition because of its concise calculation method, good description of local features of the image, and insensitivity to illumination. At the same time, because the LBP descriptor only pays attention to the description of the local features of the image, and ignores the description of the global features of the image, it leads to the shortage of the global feature extraction of the LBP algorithm. In order to effectively solve this problem, many scholars hav...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/16G06V40/168
Inventor 邓燕妮褚四勇龚良文涂林丽尉成勇赵东明刘小珠傅剑
Owner WUHAN UNIV OF TECH
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