research-article

A Region-based Alignment-free Partial Fingerprint Matching

Authors:

David Albrecht,

Nandita Bhattacharjee,

Bala SrinivasanAuthors Info & Claims

MoMM '16: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media

Pages 63 - 70

https://doi.org/10.1145/3007120.3007130

Published: 28 November 2016 Publication History

Abstract

Fingerprint is one of the most researched biometrics and applied to many applications like boarder security, access security, security of electronic devices to name a few. However, alignment and matching of partial fingerprints convincingly is still a challenging problem. This paper proposes a region based partial fingerprint matching approach that matches the fingerprints without aligning them. The approach focuses on extracting the matching regions in unaligned fingerprints. As extraction of regions happens without alignment, a new similarity metric is proposed that can compute similarity value between unaligned fingerprints. The results demonstrate that the proposed approach can eliminate the need for aligning the fingerprints without affecting the accuracy. The popular Fingerprint Verification Competition (FVC) 2002 dataset is used for conducting experiments. Moreover, the results of fingerprint recognition are compared with the best alignment based fingerprint matching techniques.

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Cited By

SHABRINA NLI DISSHIKI T(2024)High Precision Fingerprint Verification for Small Area Sensor Based on Deep LearningIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2022EAP1079E107.A:1(157-168)Online publication date: 1-Jan-2024
https://doi.org/10.1587/transfun.2022EAP1079
Komal KBhattacharjee NAlbrecht DSrinivasan B(2018)Parameter Recovery Using Radon TransformProceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia10.1145/3282353.3282361(34-43)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3282353.3282361
Sabir M(2018)Sensitivity and Specificity Analysis of Fingerprints Based Algorithm2018 International Conference on Applied and Engineering Mathematics (ICAEM)10.1109/ICAEM.2018.8536268(1-5)Online publication date: Sep-2018
https://doi.org/10.1109/ICAEM.2018.8536268
Show More Cited By

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cover image ACM Other conferences

MoMM '16: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media

November 2016

363 pages

ISBN:9781450348065

DOI:10.1145/3007120

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2016

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MoMM '16

MoMM '16: 14th International Conference on Advances in Mobile Computing and Multi Media

November 28 - 30, 2016

Singapore, Singapore

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Cited By

SHABRINA NLI DISSHIKI T(2024)High Precision Fingerprint Verification for Small Area Sensor Based on Deep LearningIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2022EAP1079E107.A:1(157-168)Online publication date: 1-Jan-2024
https://doi.org/10.1587/transfun.2022EAP1079
Komal KBhattacharjee NAlbrecht DSrinivasan B(2018)Parameter Recovery Using Radon TransformProceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia10.1145/3282353.3282361(34-43)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3282353.3282361
Sabir M(2018)Sensitivity and Specificity Analysis of Fingerprints Based Algorithm2018 International Conference on Applied and Engineering Mathematics (ICAEM)10.1109/ICAEM.2018.8536268(1-5)Online publication date: Sep-2018
https://doi.org/10.1109/ICAEM.2018.8536268
Schuch P(2018)Survey on features for fingerprint indexingIET Biometrics10.1049/iet-bmt.2017.02798:1(1-13)Online publication date: 28-Sep-2018
https://doi.org/10.1049/iet-bmt.2017.0279
Komal KBhattacharjee NAlbrecht DSrinivasan B(2017)Transformational Approach for Alignment-free Image Matching ApplicationsProceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia10.1145/3151848.3151855(49-57)Online publication date: 4-Dec-2017
https://dl.acm.org/doi/10.1145/3151848.3151855
Shah BPanchal G(2017)Comparative analysis on different Region of Interest (RoI) extraction mechanisms for fingerprint2017 International Conference on Intelligent Sustainable Systems (ICISS)10.1109/ISS1.2017.8389261(690-694)Online publication date: Dec-2017
https://doi.org/10.1109/ISS1.2017.8389261

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