Efficient Fingerprint Matching Technique Using Wavelet Based Features

This paper details the work of an efficient fingerprint matching technique via the use of wavelet based features. It is a kind of image based processing technique. So first core point is detected via using the hybrid technique. Then wavelet is applied on a smaller region cropped around the core point. The proposed system uses three types of features based on energy, standard deviation and Fourier Mellin Transform. These features are extracted from the same cropped portion differently. For the classification, the system uses the distance based classification along with four distances. So due to four distances usage, concept of voting is introduced which is new and saves a lot of computational time. Finally authentication will be performed if required at the end. Proposed system has provided success rate up to 93.75% on standard database and can recognize one fingerprint in less then 0. 5 seconds.