Human identification based on thinning minutiae of fingerprint

The rapid growth in the development of biometric applications causes human identification as an important issue. In addition fingerprint as a part of biometrics leading to an efficient method of human identification. Many problems appears in fingerprint patterns such as noisy patterns, confused patterns, unclear patterns displacement of patterns, spread of ink … etc. The main objective of this paper is to design and implement an efficient and effective approach for human identification using human fingerprint. The main operation of this approach after preprocessing is to localize and recognize the minutiae in fingerprint image. This approach depends on the thinning operation that is so important to prepare the image to recognize the minutiae. Good results have been achieved via implementing this approach, where the obtained similarity ratio is approximately 90%.