Abstract: In the age of information technology biometric identification is the heart of computer implementation. Biometric is a physical or biological attribute that can be measured. Biometric identification accepts or rejects the personís identity, based on his/her physiological or behavior characteristics. Multimodal biometric identification system is more power full, more accurate, less noisy data than the single biometric model. In unimodal such as face, finger, iris, retina all are decade according to time pass or some changes may be applied therefore multimodal is given better performance. In this work we use fingerprint, hand geometry used as multibiometric and find good result with high accuracy using quantile normalization fusion of hand geometry and fingerprint biometrics.
Keywords: Fingerprint, Biometrics, Quantile Normalization, Hand geometry.