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Signature has been a distinguishing feature for person identification through the ages. Even today an increasing number of transactions, especially financial, are being authorized via signatures. In this work an automatic Offline Verification of handwritten signatures is developed which uses set of simple shape based geometric features of signatures. The system has been tested on large data sets The accuracy of results is 96%.

Produktbeschreibung
Signature has been a distinguishing feature for person identification through the ages. Even today an increasing number of transactions, especially financial, are being authorized via signatures. In this work an automatic Offline Verification of handwritten signatures is developed which uses set of simple shape based geometric features of signatures. The system has been tested on large data sets The accuracy of results is 96%.
Autorenporträt
Nada A. Z. Abdullah est professeur adjoint à l'université de Bagdad, à la faculté des sciences et au département d'informatique. Spécialiste des systèmes d'exploitation, elle enseigne de nombreux sujets en informatique tels que les systèmes d'exploitation, les langages de programmation informatique et les systèmes distribués. Rédactrice en chef de l'Iraqi Journal of Science (IJS) de l'université de Bagdad.