A New Method of Fingerprint Key Generation for Digital Signature

Abstract

The invention relates to a novel fingerprint key generation method for a digital signature, which comprises two stages and is characterized in that the first stage is fingerprint feature extraction which comprises the steps of calculating a directional diagram of a fingerprint image, positioning a reference point of the fingerprint image, calculating a sector fingerprint feature extraction region, carrying out fingerprint image normalization, performing enhancement processing on the fingerprint image, and extracting fingerprint features; and the second stage refers to fuzzy extraction technology based fingerprint key generation which comprises the steps of constructing a security model based fuzzy extractor, constructing a Hamming distance based fuzzy extractor and generating a fingerprint key. The novel fingerprint key generation method has the advantages that the fingerprint key can be cancelled or updated for multiple times, the security is enabled to be higher, and potential safety hazards brought about by external information stealing can be avoided. Meanwhile, the novel fingerprint key generation method has important theoretical and practical values, and has wide application prospects.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification, and in particular relates to a new method for generating a fingerprint key for digital signatures. Background technique [0002] At present, with the advancement of the "Internet +" action, not only has the pace of development of e-commerce applications such as Weibo, Alibaba, and Taobao been accelerated, but also e-commerce activities such as online shopping and online consumption have become mainstream lifestyles, making people satisfied. Knowing the world has become a reality without leaving home. However, while people are enjoying the convenience of "Internet +", the security of their e-commerce has become the focus of attention. [0003] Facing the complex and severe network security situation, how to build a reasonable, safe and effective identity verification platform in the network to prevent hackers on the network from pretending to be legitimate users to recei...

AI Technical Summary

Problems solved by technology

[0006] (1) Due to external factors, collection equipment and other factors, there are slight differences in the fingerprint feature information collected each time. Even if the same biometric feature is submitted by the same person, the generated key cannot be completely consistent.

[0007] (2) The fingerprint biometric data obtained by the feature fuzzy matching identification method cannot directly generate a key

[0008] (3) Some users have doubts about the security of the biometric data storage center, and worry that the information reflecting personal biometric characteristics may be leaked, so they are unwilling to store their biometric data in the database

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