Palmprint is an example of physiological characteristics of an individual, which can be easily captured by using some types of sensors and cameras. The palmprint has many nature compositions, which contain rich features that mainly used for distinguishing such as, wrinkles, ridges, principal lines, singular, and minutiae points. These make a palmprint as one of a unique biometric and reliable for human recognition. In this work have used multiple correlation filters per class for performing palmprint classification algorithm.
Keywords: Palmprint, Recognition, Biometric and Features.