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
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Minutia Matching Algorithm in Fingerprint Verification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
The implementation of an improved fingerprint payment verification system
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
An enhanced estimation algorithm for reconstructing fingerprint strip image
ICISC'05 Proceedings of the 8th international conference on Information Security and Cryptology
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This thesis is on fingerprint recognition method and system, more in detail, the layered fingerprint recognition method and system to compare not only the minutiae or singular point, but also compare the images of detailed area for making prompt and accurate comparison of fingerprint. Since Edward R. Henry established the modern fingerprint approach in the recent days, the fingerprint has been applied in numerous fields. In particular, fingerprint is a powerful personal verification means that has been widely used for financial transactions, crime investigation and various security systems [1,2]. The contents proposed in this thesis calculate the relativity between the minutiae and extract certain area for the standard on similar patterns in measuring the similarity that it provides effective identification on the consistency on fingerprint with similar minutiae and fingerprint with prompt and rotation in fabric [9].First, the singular point and the minutiae are compared to seek the similar pattern promptly, then compare with the image of certain area based on the singular point (core point or delta point) that more accurate fingerprint can be recognized by performing the matching processes in multi-stages. Through the experiment that applies this theory, we have confirmed that there is a great improvement of verification rate and erroneous recognition rate of other person's fingerprint.