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
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2000: Fingerprint Verification Competition
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
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
A Modified Singular Point Detection Algorithm
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Fingerprint Classification Based on Analysis of Singularities and Image Quality
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
A fingerprint pattern classification approach based on the coordinate geometry of singularities
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Fast fingerprints classification only using the directional image
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
An effective method of fingerprint classification combined with AFIS
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A biometric encryption approach incorporating fingerprint indexing in key generation
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
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Fingerprint classification provides an important fingerprint index and can reduce fingerprint matching time in large database. A good classification algorithm can give an accurate index that is able to search a fingerprint database more effectively.In this paper, we present a fingerprint classification algorithm that is based on directional fields. We compute directional fields of fingerprint image and detect singular points (cores). Then, we extract features that we define from fingerprint image. We also use k-means classifier and 3-nearest neighbor to classify feature and distinguish which fingerprint is Arch, Left Loop, Right Loop, or Whorl. Experimental results show a significant improvement in fingerprint classification performance. Moreover, the time required for the classification algorithm is reduced.