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Face recognition method based on multidirectional local binary pattern

A local binary mode and face recognition technology, which is applied in the field of image processing, can solve problems such as easy to generate errors, and achieve the effects of stable recognition accuracy, high practicability, and high recognition accuracy

Pending Publication Date: 2022-03-25
NANTONG UNIVERSITY
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AI Technical Summary

Problems solved by technology

In the prior art, using the local binary mode operator to extract the direction information of the image texture in the process of feature extraction is prone to error problems

Method used

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  • Face recognition method based on multidirectional local binary pattern
  • Face recognition method based on multidirectional local binary pattern
  • Face recognition method based on multidirectional local binary pattern

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Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with the accompanying drawings for further explanation, so that those skilled in the art can understand the present invention more deeply and can implement it, but the following examples are only used to explain the present invention, not as the present invention limit.

[0031] A face recognition method based on multi-directional local binary patterns, including the following steps: Step 1, classify the original two-dimensional image in combination with a stacked classifier, and filter out all non-faces under the condition of retaining the face window window, on the basis of ensuring a low missed detection rate, filter most of the non-face areas to obtain the original two-dimensional face image; regard the cascade classifier as a deteriorating decision tree, the closer to the original face image The lower the correct detection rate of the classifier, the lower the missed detection rate, and the shor...

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Abstract

The invention belongs to the technical field of image processing, and particularly relates to a face recognition method based on a multidirectional local binary pattern. Compared with the prior art, the face recognition method based on the multi-direction local binary pattern has higher recognition precision, meanwhile, the recognition precision is not affected by a partitioning mode, the recognition precision is more stable, and the face recognition method has higher practicability in practical application. According to the method, a multi-direction local binary mode is combined to extract the texture change features of the local area of the face image, so that the face image texture extracted in the recognition process is clearer and richer. On the basis of a traditional wavelet transform image texture analysis method, a brand-new original face image transformation mode is provided by fully utilizing an anisotropic rule in a face image, a multi-scale geometric analysis tool is adopted for shear wave transformation, two-dimensional image optimal approximation is carried out on the original face image, and the face image texture is obtained. Therefore, various types of information and features contained in the face image can be conveniently obtained subsequently.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a face recognition method based on a multi-directional local binary pattern. Background technique [0002] Nowadays, people pay more and more attention to the security and concealment of information. How to use more efficient and convenient technical means to verify and identify identities has become a key research issue for researchers in the field of identification. There are traditional identity information verification and intelligent identification methods, which are easy to lose, inconvenient to carry, unreadable passwords, and serious damage caused by excessive use. Therefore, due to the limitations of various influencing factors, traditional identity verification methods such as relying only on certificates, identification codes, and passwords will cause great limitations in practical applications. Face recognition is the most common mode of human vi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/16G06V10/44G06V10/50G06V10/764G06K9/62
CPCG06F18/24
Inventor 何金凤杜明珠吴琦王昭周梓轩
Owner NANTONG UNIVERSITY
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