Filterbank-Based Fingerprint Matching 5.3 Download

Filterbank-Based Fingerprint Matching 5.3 Description

"We have developed a novel, hybrid technique for core point detection."

Editor: With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially Fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to Extract automatically. The widely used minutiae-based representation does not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures cannot be completely characterized by minutiae. Further, minutiae-based matching has difficulty in quickly matching two fingerprint images containing different number of unregistered minutiae points. 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.

The localization of core point represents the most critical step of the whole process. you can free download Filterbank-Based Fingerprint Matching 5.3 now.

Filterbank-Based Fingerprint Matching 5.3 Keywords

based, fingerprint, i ching, Finger Print, matching

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