Writing rhythm feature extraction and authentication method in online handwriting authentication

Abstract

The invention relates to the field of information security, and discloses a writing rhythm feature extraction and authentication method in online handwriting authentication. The method comprises the following steps: writing rhythm feature pre-learning, obtaining a writing rhythm characteristic probability density function; writing rhythm feature registration, calculating the maximum value and theminimum value of the registered handwriting sample on each component of the writing rhythm characteristics, authenticating the writing rhythm characteristics, calculating the probability of observingall stable and consistent writing rhythm characteristic components of the tested handwriting sample and the registered handwriting sample, and taking the probability value as a basis for further judgment. The invention discloses a method for extracting and authenticating writing rhythm characteristics in online handwriting authentication. Writing rhythm characteristics are effectively extracted, the probability of occurrence of the stable and consistent writing rhythm characteristics in crowds is estimated, and the attack difficulty and attack cost of a facsimile are greatly increased by effectively identifying a writing mode which is not easy to perceive, so that the handwriting authentication performance is improved.

Description

technical field [0001] The invention relates to the field of information security, in particular to a method for extracting and authenticating writing rhythm features in online handwriting authentication. Background technique [0002] Online handwriting authentication refers to a technology that uses a special input device to obtain the user's handwriting online, and compares the personalized features contained in it to realize user identity authentication. [0003] The so-called writing rhythm refers to the inherent pattern reflected in the length of time spent writing each stroke, the speed of the stroke, the severity of force, and the length of the stroke. , Periodic fixed collocation of light and heavy force. The rhythm of high-level writing is characterized by severity, slowness, relaxation, orderly speed, and order, showing regularity and giving people a sense of beauty; on the contrary, low-level writing is chaotic and irregular. Research on graphology shows that wr...

AI Technical Summary

Problems solved by technology

However, in the online handwriting authentication system, handwriting data is represented by discrete sampling point information, and the extraction of rhythm features involves a series of difficult problems such as handwriting segmentation, stroke type recognition, stroke order recognition, etc.

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