Biometrics with Eigen-Hand

Biometrics such as fingerprints, hand geometry, face and voice biometrics provide a reliable alternative for identity verification and are gaining industry and citizen acceptance. Among these, hand geometry verification has emerged as the most suitable biometric modality for medium and low security application due to its speed and unobtrusive nature. However, the applications of hand geometry have been limited due to its limited accuracy when compared to other modalities. The concept of the well-known eigen face have been applied for palmprint image for person identification. The derived eigen value and eigen vector contributes to the important feature in the classification process. For training the classifiers, a library set of 50 patterns is used. The tested data consists of 100 samples and produced correct classification rate close to 95 %