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Method and system for extracting facial features

A face feature and extraction method technology, which is applied in the face feature extraction method and system field, can solve the problems of heavy CPU load, high hardware cost, and high computational complexity, and achieve requirements reduction, fine gray-scale difference coding, The effect of recognition rate improvement

Inactive Publication Date: 2016-05-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

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[0005] However, the calculation complexity of the above method is very high, and the CPU load is heavy, and the hardware cost is very high to complete the fine, real-time online face recognition technology

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  • Method and system for extracting facial features
  • Method and system for extracting facial features
  • Method and system for extracting facial features

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Embodiment Construction

[0037] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0038] In order to understand the technical solution proposed by the present invention more accurately, the application document first explains the following technical terms in detail.

[0039] Definition 1 Local binary mode: Local binary mode is originally an algorithm used to analyze the texture characteristics of digital images. The core idea of ​​the algorithm is to use the window function to traverse the entire image to extract texture features, and the most basic window function is as follows: figure 1 In the 3×3 matrix shown, we use 0 and 1 to represent the relationship between the gray value of the central pixel and the adjacent pixel. If the gray value of the adjacent pixel is higher than the gray value of the central pixel, then ...

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Abstract

The invention provides a method and a system for extracting facial features. The method comprises the following steps of: 1, acquiring and comparing grayscale values of each pixel of a facial image and surrounding pixels in an image library, and determining grayscale difference values between the pixels and the surrounding pixels in the facial image; 2, performing probability density statistics on the grayscale difference values to obtain the accumulated probability distribution of the grayscale difference values, and encoding the grayscale difference values according to the accumulated probability distribution of the grayscale difference values and a requirement for the number of feature vector encoding bits to obtain grayscale difference value codes; 3, performing computation on the grayscale difference value codes in a linear local binary mode to obtain a feature vector P1 in a horizontal direction and a feature vector P2 in a perpendicular direction; 4, performing computation on the grayscale difference value codes on a statistical local binary mode to obtain a feature vector P3 in the horizontal direction and a feature vector P4 in the perpendicular direction; and 5, combining the feature vectors P1, P2, P3 and P4 to represent the facial features of the facial image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for extracting human face features. Background technique [0002] The 21st century is the era of information technology. From computers to networks, information technology has brought countless conveniences to people's lives. Identity authentication for users is an effective measure to ensure information security. Traditional identity verification methods can no longer meet the needs of rapid social development. In this case, biometric identification technology has emerged. In recent years, the biometric features developed for identification include hand shape, fingerprint, face, and iris. , retina, pulse, auricle, etc. As an important part of biometric recognition, face recognition has advantages that other biometrics do not have, and occupies a pivotal position in biometric recognition. [0003] Compared with other biometric features, facial features have o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/00
Inventor 程建黄芮婕张敬献孙正春
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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