ENGLISH

Abstract

For a wide range of systems that requires reliable personal recognition schemes to either determine or confirm the identity of a person requesting the services, personal recognition using palm–vein patterns has emerged as a promising alternative for human recognition because of its uniqueness, stability, live body identification, flexibility, and difficulty to cheat. Palm vein imaging requires near infrared (NIR) light for the complex vascular structures residing inside the palm to become visible. The blood vessels which absorb the NIR illumination appear darker than other tissues. In this paper analysis of various palm vein recognition techniques that are widely applied in today’s palm vein recognition technology is represented. The process of the palm vein recognition starts right just from the process of image acquisition. In section III the pre-processing of the images is discussed which is followed by the feature extraction of the pre-processed image and the pattern recognition. After this a final result is obtained.