An Improved Scheme for Bad-Quality Fingerprint Reconstruction and Matching

Due to growing concerns of authentication and security in the world, biometric security systems are becoming increasingly popular. Fingerprints tend to be the most used biometric feature in most security and identification system. In any fingerprint identification system, enhancement of the fingerprint image prior to recognition is essential. A fingerprint is an impression left by the friction ridges of a human finger. In a wider perspective, fingerprints are the traces of an impression from the friction ridges of any part of a human or other primate hand or foot. Impressions of fingerprints are caused on a surface by the natural secretions of sweat from the eccrine glands that are present in friction ridge skin. These can also made by artificial means such as ink or other substances, transferred from the peaks of friction ridges on the skin to a relatively smooth surface such as a fingerprint card. In this work, a whole fingerprint authentication system has been proposed in which enhancement of fingerprints, minutia point extraction, valid minutia point filtering and matching has been carried out. In this major work presented has been done minutia point extraction and filtering in which wrong or invalid minutia points has been removed which results in better accuracy of the authentication system. Experimental results show that the proposed system work effectively on all types of fingerprint images and evaluates valid minutia points from the input fingerprint image.