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Detection and Rectification of Distorted Fingerprints

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Detection and Rectification of Distorted Fingerprints


M. Ramesh kumari

https://doi.org/10.31142/ijtsrd18185



M. Ramesh kumari "Detection and Rectification of Distorted Fingerprints" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5, August 2018, pp.1835-1841, URL: https://www.ijtsrd.com/papers/ijtsrd18185.pdf

One of the open come outs in fingerprint confirmation is the lack of robustness against image quality degradation. Poor-quality images result in specious and missing features, thus degrading the performance of the overall system. Therefore, it is very important for a fingerprint acknowledgement system to estimate the quality and validity of the captured fingerprint images. Also the elastic distortion of fingerprints is one of the major causes for false non-match. While this problem impacts all fingerprint acknowledged applications, it is especially unsafe in negative recognition applications, such as watch list and reduplication applications. In such applications, malicious users may purposely distort their fingerprints to elude identification. In the existing approaches by matching the different dataset by plotting Rigid Core Delta point to be specified as the finger print recognition. In this paper, we proposed novel algorithms to detect and rectify skin distortion based on a individual fingerprint image. In this process the detection is based on the patches based approaches. In these approaches the patches is defined as the rectangular position the distortion is not detected at the specified fingerprint. The patches size is varied the distortion is detection and a SVM classifier is prepared to perform the classification task. Distortion rectification (distortion field estimation) is considered as a regression problem, where the input used is a distorted fingerprint and the output is the distortion less field.

fingerprint, delta point, SVM, Matlab


IJTSRD18185
Volume-2 | Issue-5, August 2018
1835-1841
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)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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