Gabor Filter for Fingerprint Recognition
Fingerprint recognition is one of the most practices and this can be
popular for recognition with greater degree of success. The fingerprint has
characteristics that are unique minutiae, that are points where a curve
track finishes, intersect or branches down. A novel technique for
Fingerprint recognition is known as in this work employing a mixture of
Fast Fourier Transform (FFT) and Gabor Filters to improvement the image.
The proposed strategy involves mix of Gabor filter and Frequency domain
filtering for improving the fingerprint. With eight various orientations of
Gabor filter, top options that come with the fingerprint are extracting and
are also additionally combined. The fingerprint image is subdivided into
32*32 structures that are little Frequency domain filtering. Features are
removed from most of these structures in regularity domain. Final
fingerprint that is enhanced obtained the full total outcomes of Gabor
Filter and frequency domain filtering. Binarization and Thinning follows
next where the fingerprint that is improved turned into binary therefore
the ridges are thinned to one or more pixel width. This can help in
extracting the Minutiae elements. Euclidian distance method ideal for
performance of recognition. The general recognition rate for the proposed
technique is 95% acquired as which is far better in comparison to histogram
strategy where the recognition price is 64%.
Â· Gabor Filter
Â· fingerprint verification combination 2002(FVC 2002).
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