Beschreibung
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
Dr. Nada A. Z. Abdullah assistant professor, University of Baghdad /College of Science / Computer Science department.She is specialist in Operating System field, she teaches many subjects in computer science such as Operating system, Computer programming languages, and Distributed Systems.Editor of Iraqi Journal of Science (IJS) Univ. of Baghdad.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
