Human fingerprints are rich in details called minutiae, which can be used as identification marks for fingerprint verification. The goal of this paper is to develop a complete system for fingerprint verification through extracting and matching minutiae. To achieve good minutiae extraction in fingerprints with varying quality, preprocessing in form of image enhancement and binarization is first applied on fingerprints before they are evaluated. Many methods have been combined to build a minutia extractor and a minutia matcher. Minutia, extract all the details after optimization with the fingers of someone else's imprint. In this book, program is coded by MATLAB. For the program, some optimization at coding level and algorithm level are proposed to improve the performance of my fingerprint recognition system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint images.