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Fingerprint matching and recognition using gabor filter with euclidean distance

Author:

Sangeeta Narwal and Daljit Kaur

Subject Area:

Physical Sciences and Engineering

Abstract:

This paper includes matching of fingerprint images based on the minutiae and bifurcation points. Euclidean distance algorithm helps in recognition of input images depends upon the threshold value. Euclidean distance calculated between the feature vectors. A Gabor filter used to differentiate the extracts features of fingerprint images. Gabor feature of wavelet transform method helps in detecting minutiae and bifurcation points which help in finding the match of input fingerprint image.

PDF file:

11236.pdf

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