On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent biometric techniques in fingerprint and face recognition
Intelligent biometric techniques in fingerprint and face recognition
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2000: Fingerprint Verification Competition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint image enhancement using filtering techniques
Real-Time Imaging
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Super-template generation using successive bayesian estimation for fingerprint enrollment
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A study on evaluating the uniqueness of fingerprints using statistical analysis
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
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Minutiae-based fingerprint matching algorithms generally consist of two steps: alignment of minutiae and search for the corresponding minutiae. This paper presents a triangular matching algorithm for fast alignment, in which the overall processing time can be significantly cut down by making a quick decision on the amounts of rotation and translation between a pair of fingerprint images. The alignment algorithm proposes a novel triangular data structure and utilizes Parzen density estimation. The proposed algorithm has been tested under well-formed testing scenario over an Atmel fingerprint database and demonstrated promising improvement both in processing time and in recognition accuracy.