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During the last years, hand vein patterns recognition is one of the most recent biometric technologies used for the identification/verification of individuals. The vein trace is hard to damaged, changed or falsified since veins are internal to the human body. In this work, a novel palm vein recognition and verification system is presented. The system work flow passes through two main phases: (i) the enrollment phase and (ii) the recognition phase. In the enrollment phase, the biometric system is trained to identity a specific person. While, in the recognition phase, the system tries to…mehr

Produktbeschreibung
During the last years, hand vein patterns recognition is one of the most recent biometric technologies used for the identification/verification of individuals. The vein trace is hard to damaged, changed or falsified since veins are internal to the human body. In this work, a novel palm vein recognition and verification system is presented. The system work flow passes through two main phases: (i) the enrollment phase and (ii) the recognition phase. In the enrollment phase, the biometric system is trained to identity a specific person. While, in the recognition phase, the system tries to identify who is the person (in case of identification) or to verify is the person who he/she claims to be (in case of verification).
Autorenporträt
Asmaa M. J. Abbas Agha has B.Sc. degree in Software Engineering, Al-Mansour University College, 2004; M.Sc. degree in Computer Science, Baghdad University, Baghdad, Iraq, 2014. Work at Information Technology Directorate, Ministry of Science and Technology. Research interest: Image processing, biometrics, pattern recognition, mobile computing.