Offline Signature Authentication Algorithm Based on the Fuzzy Set | Zendy

Shi Qiu | Zendy; Fengchang Fei | Zendy; Ying Cui | Zendy

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Offline Signature Authentication Algorithm Based on the Fuzzy Set

Author(s) -

Shi Qiu,

Fengchang Fei,

Ying Cui

Publication year - 2021

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2021/5554341

Subject(s) - signature (topology) , authentication (law) , discretization , pattern recognition (psychology) , computer science , stability (learning theory) , algorithm , segmentation , fuzzy logic , variance (accounting) , data mining , set (abstract data type) , artificial intelligence , fuzzy set , mathematics , machine learning , computer security , mathematical analysis , geometry , accounting , business , programming language

There exists a problem that it is difficult to identify the authenticity of offline signatures. Firstly, a segmentation model is established based on the theory of fuzzy sets to extract signatures completely. Secondly, statistical shape model (SSM) and variance distance discretization of intraclass signatures are introduced for stability analysis and quantification. Finally, multilayer classifiers are constructed to realize signature authentication. The algorithm has low false detection rate and short authentication time.

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