International Journal of Engineering and Advanced Technology (IJEAT)
Palm-print is a unique biometric trait commonly uses to distinguish people. Identification of people with aid of machine is needed to solve insecurity challenges in the society. Human palm-print is a good raw material for machine based identification systems. These systems require strong predominate feature from palm-print for successful operation. In this paper, a discriminate feature that can be used to differentiate people accurately is extracted from palm-print image. Edge detected palm-print image is sliced into smaller image blocks through centre points thereafter robust feature vector is generated from these smaller image blocks.