Finger vein encryption method

Abstract

The present invention provides a finger vein encryption method. According to the finger vein encryption method, a multi-scale block centrally symmetric local binary mode is used to extract the features of an image, and under a fuzzy commitment framework, BCH codes and binary codes are combined with a key. According to the multi-scale block centrally symmetric local binary mode, the mean gray value of pixel block regions is adopted to replace the gray value of a single pixel in a CSLBP operator, so that comparison is performed, and therefore, the multi-scale block centrally symmetric local binary mode is insensitive to the influence of noises; the extracted features contain the microstructure and macro structure of the image, and therefore, the information of the image can be expressed more completely, and a classification effect is better; after MB-CSLBP operator encoding, obtained binary codes are adopted as the features of the finger vein image; and the features are combined with the key which has been subjected to BCH encoding, so that the key can be encrypted.

Description

technical field [0001] The invention relates to a pattern recognition method, in particular to a finger vein encryption method. Background technique [0002] At present, some traditional identity authentication technologies like passwords and ID cards are still the most widely used around the world, but this has also led to the fact that these identity authentication technologies have been fully researched, so their security is gradually improving. reduce. As biometric technology is increasingly applied to real life, the importance of privacy and security becomes self-evident. At the same time, the means of attacking the biometric identification system are constantly being updated. Different from traditional passwords, traditional passwords are often randomly generated, and the difficulty of attacking passwords mainly depends on the complexity of calculations, while biological characteristics are fixed and often exposed in various occasions, so biometric identification Sy...

AI Technical Summary

Problems solved by technology

[0003] At present, in the theoretical research of biometric encryption technology by scholars all over the world, there are still aspects that need to be further improved and perfected. The characteristics of the scheme, and enable it to be combined with the key; another example, in the process of encryption, how to improve the matching accuracy of the encryption field matching problem needs further research; another example, based on the biometric encryption system involved. How to evaluate the performance of the encryption system based on the obtained experimental data, after all, so far, there has not been a standard for evaluating the performance of the biometric encryption system

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