Palm Veins Recognition and Verification System

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).

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.