Fingerprint pattern classification
Pattern Recognition
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Classification by Directional Image Partitioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Identification: Classification vs. Indexing
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Application of a new type of singular points in fingerprint classification
Pattern Recognition Letters
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fingerprint classification using the stochastic approach of ridge direction information
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
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
Effective fingerprint classification by localized models of support vector machines
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Fingerprint classification based on learned features
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 12.05 |
In this study, a high accuracy fingerprint classification method is proposed to enhance the performance in terms of efficiency for fingerprint recognition system. The recognition system has been considered as a reliable mechanism for criminal identification and forensic for its invariance property, yet the huge database is the key issue to make the system obtuse. In former works, the pre-classifying manner is an effective way to speed up the process, yet the accuracy of the classification dominates the further recognition rate and processing speed. In this paper, a rule-based fingerprint classification method is proposed, wherein the two features, including the types of singular points and the number of each type of point are adopted to distinguish different fingerprints. Moreover, when fingerprints are indistinguishable, the proposed Center-to-Delta Flow (CDF) and Balance Arm Flow (BAF) are catered for further classification. As documented in the experimental results, a good accuracy rate can be achieved, which endorses the effectiveness of the fingerprint classification scheme for the further fingerprint recognition system.