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An Approach for Scaling Up Performance of Fingerprint Recognition

M.B. Patel1 , S. M. Parikh2 , A.R. Patel3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 457-461, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.457461

Online published on May 31, 2019

Copyright © M.B. Patel, S. M. Parikh, A.R. Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M.B. Patel, S. M. Parikh, A.R. Patel, “An Approach for Scaling Up Performance of Fingerprint Recognition,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.457-461, 2019.

MLA Style Citation: M.B. Patel, S. M. Parikh, A.R. Patel "An Approach for Scaling Up Performance of Fingerprint Recognition." International Journal of Computer Sciences and Engineering 7.5 (2019): 457-461.

APA Style Citation: M.B. Patel, S. M. Parikh, A.R. Patel, (2019). An Approach for Scaling Up Performance of Fingerprint Recognition. International Journal of Computer Sciences and Engineering, 7(5), 457-461.

BibTex Style Citation:
@article{Patel_2019,
author = {M.B. Patel, S. M. Parikh, A.R. Patel},
title = {An Approach for Scaling Up Performance of Fingerprint Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {457-461},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4264},
doi = {https://doi.org/10.26438/ijcse/v7i5.457461}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.457461}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4264
TI - An Approach for Scaling Up Performance of Fingerprint Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - M.B. Patel, S. M. Parikh, A.R. Patel
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 457-461
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Biometric Recognition System plays vital role in aspect of security. Among all physiological and behavioral biometric modalities, current study focuses on fingerprint recognition from physiological biometric modality. Fingerprint recognition plays key role in success of user authentication to verify and identify an individual with matching of his/her fingerprint. It is one kind of pattern recognition method which acquires the set of minutiae features from an individual finger image and compare it with the minutiae features available in template image. This research paper focuses on the challenges resides in fingerprint authentication, limitations in methodology used for processing, proposed research model to solve these limitations, Significant of proposed research work show the solution of challenges with implemented work using FVC2000 and FingerDOS databases.

Key-Words / Index Term

Fingerprint Recognition, Orientation Estimation, Image Enhancement, Thinning, Minutiae Extraction, Core Point Detection

References

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