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The interpersonal and intrapersonal variability influences on off-line signature verification using HMM

Edson J. R. JustinoFlávio Bortolozzi

The off-line signature verification rests on the hypothesis that each writer has similarity among signature samples, with small distortion and scale variability. This kind of distortion represents the intrapersonal variability. This paper reports the interpersonal and intrapersonal variability influences in a software approach based on Hidden Markov Model (HMM) classifier. The experiments have shown the error rates variability considering different forgery types, random, simples and skilled forgeries. The mathematical approach and the resulting software also report considerations in a real application problem.

http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/10.23.11.18

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