Image Compression Algorithms for Fingerprint System

Fingerprint-which have been used for about 100 years are the oldest biometric signs of identity. Humans have used fingerprints for personal identification for centuries and the validity of fingerprint identification has been well established. In fact, fingerprint technology is so common in Human Identification that it has almost become the synonym of biometrics. Fingerprints are believed to be unique across individuals and across fingers of same individual. Even identical twins having similar DNA, are believed to have different fingerprints. The analysis of fingerprints for matching purposes generally requires the comparison of several features of the print pattern. These include patterns, which are aggregate characteristics of ridges, and minutia points, which are unique features found within the patterns. is also necessary to know the structure and properties of human skin in order to successfully employ some of the imaging technologies. A major approach for fingerprint recognition today is to extract minutiae from fingerprint images and to perform fingerprint matching based on the number of corresponding minutiae pairings. One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by fingertip surface condition, which may vary depending on environmental or personal causes. Addressing this problem this paper propose some extra features that can be used to strengthen the present approaches followed in developing Fingerprint recognition system. To increase security and accuracy we can use Infrared technique and technique to assign a score value to each of extracted minutiae. Key Terms– Biometric, Minutiae, Binarization, Thinning, Median Filter.