Finger vein identification method

Abstract

The invention discloses a finger vein identification method, which can improve the identification speed. The finger vein identification method comprises the steps of adopting a method of placing and collecting multiple fingers of the same collecting object for multiple times to obtain finger vein images of the collecting object, and preprocessing the finger vein images to obtain sample images; extracting vein characteristics of the sample images; performing principal component analysis PCA operation on the sampling images to obtain a dimensionality reduction vector matrix P1 and a PCA conversion matrix P2; clustering by adopting a K mean value clustering method to obtain J clustering centers by taking each column in the dimensionality reduction vector matrix P1 as one clustering sample. During identification, a conversion vector X' is obtained through multiplying a preprocessed to-be-identified image by P2, the clustering center most similar to X' is found out, and vein characteristics corresponding to partial attribution samples in the clustering center are taken as a comparison basis for being compared with the vein characteristics extracted from the to-be-identified image, so that finger vein identification is realized.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to a finger vein identification method. Background technique [0002] Finger vein recognition technology is a new type of biometric identification technology. Because the user's finger vein characteristics are difficult to be forged, it has a high level of security and is especially suitable for use in places with high security requirements. [0003] The process of finger vein recognition is that the infrared light generated by the infrared light source is irradiated on the finger of the collector, filtered by the filter and reflected by the mirror, and collected by the infrared camera. Vein features are extracted from the collected images, and then feature matching is performed, thus realizing finger vein recognition. [0004] Due to the large amount of data of a vein image, it will take a lot of time in the process of processing, which affects the recogn...

AI Technical Summary

Problems solved by technology

[0004] Due to the large amount of data in a vein image, it will take a lot of time in the process of processing, which will affect the recognition speed and application range of the image.

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