UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1805859


Registration ID:
182339

Page Number

707-719

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Title

Feedback based Adaptive matching algorithm for cancellable fingerprint templates

Abstract

The Cancellable fingerprint generation techniques extract features from the fingerprint, obtain a user key input from the user and transform the features to a non-invertible domain using the user key input and store the transformed features as templates. Non-invertible transformations are many to one transformation which means that distinct biometric feature sets could be transformed in to similar feature sets because of transformation by user key input. The matching algorithms generally match between enrolled and query bit strings and generate a score based on how different the two bit strings are to each other, like hamming distance. This simple approach to matching works well when both bit strings contain raw biometric features such as minutiae locations and angles. But matching cancellable templates using such bit string matching algorithms would not be successful because they don’t take into account the many to one transformations caused by the user key. Specifically, the ability of the matching algorithm to separate between genuine and imposter diminishes and Equal Error Rate increases. A novel feedback based adaptive matching algorithm that matches features instead of bit-strings is presented in this paper. The proposed algorithm matches features in the cancellable templates that are generated by Delaunay triangulations. The algorithm includes a feedback based parameter which enables the matching algorithm to maximize separability and minimize EER by adapting itself to the templates in the population which is demonstrated by applying the algorithm on public database. The separability thus obtained is higher than other such algorithms and EER is comparable with other such algorithms.

Key Words

Cancellable fingerprints, Matching Algorithms, Separability, Equal Error Rate, Adaptive algorithm

Cite This Article

" Feedback based Adaptive matching algorithm for cancellable fingerprint templates", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.707-719, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805859.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" Feedback based Adaptive matching algorithm for cancellable fingerprint templates", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp707-719, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805859.pdf

Publication Details

Published Paper ID: JETIR1805859
Registration ID: 182339
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/IJCRT.17747
Page No: 707-719
Country: Kancheepuram, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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