A touch screen user handwriting biological key generation method

Abstract

The invention provides a generation method for a biologic key of a user chirography on a touch screen. The generation method comprises the following steps: converting a chirography vector for the same Chinese character of a user and projecting in a higher space; stabilizing the chirography vector in the higher space within an acceptable fluctuation range; extracting a digital sequence for the stabilized chirography vector; encoding the biologic key from the digital sequence. According to the generation method, the chirography information of the user is not stored in a mobile terminal and an authentication server, and a chirography template of the user is not transferred in a network. A (user name and key) pair is locally generated by collecting the user chirography by the user, and the network identity authentication is performed through various derived authentication methods for the (user name and key) pair. The high safety is ensured so long as the key space of the chirography biologic key is large enough. The length of a chirography biologic key sequence extracted according to the method is adjustable and can be greater than 256 bit.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a method for collecting user handwriting through a touch screen of a smart phone and extracting a stable handwriting biological key. It can provide a new authentication method for the existing smart phone identity authentication technology. Increase the flexibility of mobile network user identity authentication. Background technique [0002] Handwriting recognition is an ancient authentication technology with a long history. With the rapid development of the mobile Internet, handwriting recognition technology on smartphones has attracted the attention of researchers because of its small amount of calculation and flexible use. Existing smart phone handwriting authentication methods use a common biometric authentication mode. The authentication mode is: 1) Collect user handwriting, obtain user handwriting template, and store it in the remote network auth...

AI Technical Summary

Problems solved by technology

[0003] This authentication mode has an inherent disadvantage: it needs to store and transmit handwriting biometric information in an insecure network environment

However, handwriting characteristics are very unstable, and practical handwriting bio-key technology has not yet appeared in actual production and life.

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