Fingerprints are the most established from of biometrics with the most
promising future in real-world applications. However, because of the
complex distortions among the different impressions of the same finger,
fingerprint recognition is still a challenging problem. This book
presents an entire range of novel computational algorithms for
fingerprint recognition, all evaluated by the National Institute of
Standards and Technology (NIST). These include feature extraction,
indexing, matching, classification, and performance
prediction/validation methods, which have been compared with
state-of-art algorithms and found to be effective and efficient on
real-world data.