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This Palm print recognition implements many of matching characteristics as of finger print recognition and both biometrics are represented by the information present on the friction ridge impression. Palm prints differ from finger prints in a way since they contain many features and they have more discriminative regions than fingerprints. Because palm prints are both unique and permanent, they have used over a century as a trusted form of identification. Existing research on palm prints was based on low resolution and by this we can only identify the creases of a palm. The proposed system is based on High resolution images and by this we can able to identify the ridge features. Overcoming these issues many palm print systems have been proposed and are becoming a challenging task in criminal and forensic applications. An efficient Palm print recognition system has to be designed with increased matching accuracy and hence with more efficiency in forensic applications. The absolute aim of this project is an attempt to design such a system that can bring out an efficient authentication system for Palm print recognition.