fingerprint recognition system

We have hosted the application fingerprint recognition system in order to run this application in our online workstations with Wine or directly.

Quick description about fingerprint recognition system:

The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. Finally, we show that the matching performance can be improved by combining the decisions of the matchers based on complementary (minutiae-based and filter-based) fingerprint information.

Index Terms: Biometrics, FingerCode, fingerprints, flow pattern, Gabor filters, matching, texture, verification.

Features:

• Fingerprint matching
• Implementation of 1D and 2D recursive Gabor filtering
• Complex filtering techniques
• 8 Gabor filters 0 22.5 45 67.5 90 112.5 135 157.5 degrees
• Convolution is performed in frequency domain DataBase

Programming Language: MATLAB.
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