Abstract
Fingerprint Classification is a key technique in automatic fingerprint identification systems (AFIS). How to reduce the time of computing in an AFIS with a huge database is an important and necessary issue. Since on July 2006, the international standards organization (ISO) established the standard data format (template) of fingerprint based on minutiae (ISO 19794-2). The minutiae based fingerprint template becomes the international standard of fingerprint authentication/identification systems. However, handling image-based classification system into minutiae-based classification system is still a problem. This thesis present a fingerprint classification algorithm based on minutiae . The fingerprint category is clasified into one of the three classes:right loop, left loop and arch/whorl. Experimental results on live-scan database FVC2002-db1a demonstrate the validity of the proposed algorithm.