Fingerprint verification using wavelet transform

Fingerprint verification is one of the most reliable personal identification methods and it plays a very important role in forensic and civilian applications. However, manual fingerprint verification is so tedious, time-consuming, and expensive in that it is incapable of meeting today´s increasing performance requirements. Hence, an automatic fingerprint identification system (AFIS) is widely needed. Wavelet transform which has wide range of applications such as image compression, denoising noisy data, texture classification, etc., is used in this paper, for fingerprint verification. It describes the design and implementation of an offline fingerprint verification system using wavelet transform. In this method, matching can be done between the input image and the stored template without resorting to exhaustive search using the extracted feature. The experimental results show that the wavelet transform based approach is better than the existing minutiae based method and it takes less response time which is more suitable for online verification, with high accuracy.