Fingerprint feature extraction using Gabor filters
Resource
Electronics Letters
Journal
IEE Electronics Leeters
Journal Volume
35
Journal Issue
4
Pages
288-290
Date Issued
1999-02
Author(s)
Lee, Chih-Jen
Abstract
A Gabor filter-based method for directly extracting fingerprint features from grey-level images without pre-processing is introduced. The proposed method is more efficient and suitable than conventional methods for a small-scale fingerprint recognition system. Experimental results show that the recognition rate of the k-nearest neighbour classifier using the proposed Gabor filter-based features is 97.2%.
Type
journal article
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