Fingerprint identification using graph matching
Pattern Recognition
Automated fingerprint recognition using structural matching
Pattern Recognition
Pattern Recognition Letters - Special issue on genetic algorithms
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial shape matching using genetic algorithms
Pattern Recognition Letters
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Indexing Based on Novel Features of Minutiae Triplets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Localization of corresponding points in fingerprints by complex filtering
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
A minutia-based partial fingerprint recognition system
Pattern Recognition
Genetic object recognition using combinations of views
IEEE Transactions on Evolutionary Computation
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Partial palmprint matching using invariant local minutiae descriptors
Transactions on data hiding and multimedia security V
Gait verification using knee acceleration signals
Expert Systems with Applications: An International Journal
Fingerprint indexing with bad quality areas
Expert Systems with Applications: An International Journal
On the influence of fingerprint area in partial fingerprint recognition
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Hi-index | 12.06 |
Fingerprint verification is a well-researched problem, and automatic fingerprint verification techniques have been successfully adapted to both civilian and forensic applications for many years. However, this technology suffers from the problem of handling incomplete prints and often discards any partial fingerprints obtained. Recent research has begun to delve into the problems of incomplete or partial fingerprints. Genetic algorithm is developed to improvement of deformed ridges and complex distortions in fingerprints verification system. In order to deal with low quality fingerprint images. Experimental results demonstrate the robustness of our algorithm to other methods. And results show that the speed is raised using this method in the overall of the most optimum.