On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
AHUMADA: A large speech corpus in Spanish for speaker characterization and identification
Speech Communication - Speaker recognition and its commercial and forensic applications
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identity Authentication Using Fingerprints
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
An Improved Image Enhancement Scheme for Fingerprint Minutiae Extraction in Biometric Identification
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
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The aim of this paper is to show the performance of a complete scheme of the minutiae-based fingerprint automatic verification system, previously proposed [13], and recently improved, evaluating its performance in the verification mode with the large MCYT database [10]. The design of this database, the characteristics of the stored fingerprint images, the minutiae extraction procedure, and the pattern recognition process, are briefly described in the first part of the paper. Subsequently, several experiments are presented in order to analyse the influence on the system performance of a variability factor, like fingerprint position variability during acquisition stage. The use of multiple-reference strategy and score normalization technique have permitted us to highly improve verification performance.