Person Identification System using Static-dyamic Signatures Fusion

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dc.creatorDaramola, S. A., Ibiyemi, T. S
dc.date2010-09
dc.date.accessioned2025-03-28T17:35:49Z
dc.descriptionOff-line signature verification systems rely on static image of signature for person identification. Imposter can easily imitate the static image of signature of the genuine user due to lack of dynamic features. This paper proposes person identity verification system using fused static-dynamic signature features. Computational efficient technique is developed to extract and fuse static and dynamic features extracted from offline and online signatures of the same person. The training stage used the fused features to generate couple reference data and classification stage compared the couple test signatures with the reference data based on the set threshold values. The system performance is encouraging against imposter attacker in comparison with previous single sensor offline signature identification systems.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/6344/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/35583
dc.languageen
dc.subjectT Technology (General), TK Electrical engineering. Electronics Nuclear engineering
dc.titlePerson Identification System using Static-dyamic Signatures Fusion
dc.typeArticle

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