Fingerprint identification using graph matching
Pattern Recognition
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Automated fingerprint recognition using structural matching
Pattern Recognition
Detection of singular points in fingerprint images
Pattern Recognition
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A fingerprint recognizer using interminutiae binary constraint graph
EURASIP Journal on Advances in Signal Processing
A novel fingerprint matching method by excluding elastic distortion
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
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We introduce fingerprint verification, one of the most reliable personal identification methods in the biometric technology. In this paper, a new approach to the fingerprint verification based on tree graph construction is presented. Initially we find all possible minutiae points, followed by two levels of matching. At the first level match a local tree graph structure (LTGS) is constructed for each minutia considering its nearest points. Through matching of these tree graphs for each minutia, we get a reference point in the fingerprint. Using this reference point, in the second level match we construct a global tree graph structure (GTGS) spread in four quadrants to reliably determine the uniqueness of fingerprint. Therefore, tree graphs constructed using local and global features of minutiae together provide a solid basis for reliable and robust matching. With several fingerprint images, we tested our proposed verification system and the experimental results shows that the performance of our algorithm is good.