Personal authentication based on sound of signature / Autenticação pessoal baseada no som da assinatura

AUTOR(ES)

Julio Cesar Larco Bravo

DATA DE PUBLICAÇÃO

2006

RESUMO

A signature is the most used way to validate a person?s identity, since the style of every individual signature constitutes a biometric entity, whichcan be used to differentiate one person from another. This research work presents a method to accomplish the personal authentication using the sound produced when a person is signing. During this event, the friction produced by the rigid tip of a pen rubbing the paper, generates a sound that can be used to verify the identity of a person. The reliability of this methodology is based on the fact that the sound emitted during the signature action is closely correlated with the dynamics and posture of the person who signs.Moreover, every line ofthe signature corresponds directlyto one partofthe audio signal generated. Therefore, diferent individuals are able to produce completely different traces or scrawls, which will generate different audio signals. Once the audio signal is digitally captured, the samples that do not belong to the signature are discardedandthe envelope ofthis signal is computed. Everyconstituent trace of the signature are characterizedas sharpvariations of the envelope values (peaks), whichare represented as binary vectors of features. This information, is sent to a pattern recognizing stage which has the responsibility to decide whether the captured sound corresponds to an authentic user or an impostor. The presented methodology is evaluated using a group of test and training samples belongingto two types ofusers: legitimate and skilled impostor.The legitimate user is the proprietor of the signature and the skilled impostor knows the form as the legitimate user signs. As parameters of evaluation of this methodology, were obtained the error rate FAR (false acceptance) and FRR (false rejection) of 8,55% and 8,73%, respectively

ASSUNTO(S)

pattern recognition biometrics biometria reconhecimento de padrões

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