BIOMETRIC IDENTIFICATION OF INDIVIDUAL USING STATISTICAL PROPERTIES OF PALM

This paper proposes a Biometric Palm Identification of Individual using Statistical Properties of palm. The proposed work discusses the significance; since both the palm print and hand shape images are proposed to extract from the single hand image acquired from a sensor. We can discuss the new approach for palm print recognition is based on Statistical properties such as Mean square Error, Signal to Noise Ratio, Standard deviation. The comparison and combination of proposed statistical properties can be evaluated by considering the various statistical aspects are Mean Square Error (MSE), Signal to Noise Ratio (SNR), Standard Deviation.