Abstract
Human fingerprints are rich in details called minutiae, which can be used as identification marks for fingerprint verification. This paper presents the development of a real time fingerprint authentication system built as an application of an optical fingerprint scanner (“SecuGen”) and its free software developers’ kit (SDK). To achieve good minutiae extraction in fingerprints with varying quality, Gabor filter was designed and incorporated for image enhancement. The matching algorithm used in the SecuGen’s SDK is capable of finding the correspondences between input minutia pattern and the stored template minutia pattern without resorting to exhaustive search. Gabor filter is used to enhance the unique features of the fingerprint before these features are compared for authentication and recognition of a person. The result shows the improvement in accuracy level of the fingerprint authentication system when the enhanced (filtered) image is used as compared to when a noisy image is used. Keywords: Biometrics; Fingerprint Recognition; Gabor filters; Fingerprint Authentication/Verification; Fingerprint Identification
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