An Analytical Study of Fingerprinting Detection using Artificial Neural Network

The use of biometric identification is widely used in our daily life as growth of Information technology as well as computer science. This is the authentication system. The uniqueness of fingerprint for every human we need for faultless identification. However, at the time of fingerprint scanning process, image generated by scanner is marginally different during each scan. In this paper we studied of Artificial Neural Network which is used to matching algorithm for fingerprint authentication. Using Back-Propagation technique, the algorithm works to match twelve fingerprint parameters and relate them a unique number provide to the authorize user. Using matching algorithm it gives best match of fingerprint.