Method for identifying palm print on the basis of fusion of local feature and global feature

Abstract

The invention discloses a method for identifying a palm print on the basis of fusion of a local feature and a global feature. The method comprises the following steps of: 1 extracting a texture feature, a principal line feature, and an overall feature by means of two-dimension Gabor phase coding, an modified finite Radon transformation (MFRAT), and a bidirectional principal component analysis method respectively; 2, performing classified selection on the texture feature by means of Hamming distance in order to obtain a texture selected feature, performing classified selection on the principal line feature by means of dot pair area bidirectional matching in order to obtain a principal line selected feature, and performing classified selection on the overall feature by means of a minimum Euclidean distance algorithm in order to obtain a overall selected feature; 3 performing a K nearest neighbor classifier method on the texture selected feature, the principal line selected feature, and the overall selected feature in order to obtain k nearest classification results of a sample T to be identified, performing information fusion on the classification results by means of a Borda voting strategy decision fusion rule in order to achieve palm print multi-feature fusion identification. The method has advantages of accurate identification and good robustness.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification, and in particular relates to a palmprint identification method based on fusion of local and global features. Background technique [0002] Hands are the most frequent and convenient part of human contact with the outside world. It is very convenient to use hands for identification. Low-resolution images collected from non-contact cameras can be used for palmprint recognition. Compared with other biometrics, palmprint has many unique advantages: Compared with fingerprints, palmprint has a larger area and richer texture information, and ordinary cameras or scanners can capture very clear images , can build a high-performance palmprint recognition system; compared with face recognition, palmprint recognition can easily distinguish twins and plastic surgery groups; compared with iris, palmprint collection equipment is cheaper and the collection method is easier Allow users ...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a palmprint recognition method based on the fusion of local and global features, which solves the problems of limited recognition rate and poor robustness when a single feature is used to recognize palmprints

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