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Biometric Finger Print Identification using DWT Byreal Minutiaeextraction

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Biometric Finger Print Identification using DWT Byreal Minutiaeextraction


Mradula Jain | Anshul Khurana

https://doi.org/10.31142/ijtsrd14407



Mradula Jain | Anshul Khurana "Biometric Finger Print Identification using DWT Byreal Minutiaeextraction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.2106-2113, URL: https://www.ijtsrd.com/papers/ijtsrd14407.pdf

In this work an attempt is made to enhance biometric fingerprint for identification & recognition using Discrete Wavelet Transform (DWT). In conventional biometric systems Fast Fourier Transform has been used, use of the wavelets provides higher degree of resolution enhancement. In this work first the biometric image is taken as input from stored database, then it undergone through histogram equalization, which makes the pixel value distribution of an image to increase the perceptional image information. After that resolution enhancement is done by Discrete Wavelet Transform. Then the image is binarized, followed by segmentation is used to locate the objects & boundaries like the lines & curves present in an images. Then, the partitioning of the fingerprint image is done into distinguished blocks specific size. After that ROI extraction is performed. In Minutia extraction there are two steps involved, named Ridge thinning & minutia marking. Then the post processing stage consists of False minutia removal, unify termination & bifurcation and minutiae matching. Finally, the enhanced fingerprints are matched for performance evolution of the proposed technique

Minutiae extraction, Wavelet Transform, minutiae matching, fingerprint, biometrics, fingerprint enhancement


IJTSRD14407
Volume-2 | Issue-4, June 2018
2106-2113
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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