Front gait recognition method based on feature fusion

Abstract

A front gait recognition method based on feature fusion belongs to the technical field of mode recognition. The method mainly aims at solving the problem that the gait recognition rate of a single feature is low, firstly, a dynamic region in a gait energy diagram is extracted, features are extracted through Gabor wavelet transform, dimension reduction processing needs to be conducted due to the fact that the extracted features are high in dimension, and for the defect that traditional PCA dimension reduction classification is poor, dimension-reduced data serve as static features. The gait period is obtained according to the change of the ratio of the number of pixel points on the left side to the number of pixel points on the right side of the lower quarter area of the human body and used for describing the dynamic characteristics of the gait sequence, and based on the idea of characteristic fusion, static data characteristics obtained after PCA and LDA dimension reduction are fused with the dynamic characteristics describing the gait sequence for the first time; and finally, inputting the fused feature vectors into a support vector machine based on multi-classification to finish gait classification and recognition. Compared with a gait recognition method with a single feature, the fusion algorithm provided by the invention shows better recognition performance.

Description

Technical field:

[0001] The invention belongs to the field of pattern recognition, and relates to a new method of frontal gait recognition based on feature fusion, which is a method for realizing automatic analysis and discrimination of human frontal gait by using computer technology, image processing and pattern recognition. Algorithms for Gait Feature Extraction and Recognition in the Field of Biometrics Background technique:

[0002] With the development of modern computer and network technology, the importance of information security has become increasingly prominent. Traditional identification methods such as ID cards and passwords are far from meeting the requirements. As a means of identification, biometric identification technology has attracted more and more people's attention due to its inherent advantages.

[0003] Biometrics are considered to be almost impossible to forge, and gait recognition as a representative of biometrics,

[0004] Gait can be sensed and ...

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