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Fingerprint Minutiae Identification Using RLC Method

K. Kanagalakshmi1

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-02 , Page no. 86-89, Jan-2019

Online published on Jan 31, 2019

Copyright © K. Kanagalakshmi . 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: K. Kanagalakshmi, “Fingerprint Minutiae Identification Using RLC Method,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.02, pp.86-89, 2019.

MLA Style Citation: K. Kanagalakshmi "Fingerprint Minutiae Identification Using RLC Method." International Journal of Computer Sciences and Engineering 07.02 (2019): 86-89.

APA Style Citation: K. Kanagalakshmi, (2019). Fingerprint Minutiae Identification Using RLC Method. International Journal of Computer Sciences and Engineering, 07(02), 86-89.

BibTex Style Citation:
@article{Kanagalakshmi_2019,
author = {K. Kanagalakshmi},
title = {Fingerprint Minutiae Identification Using RLC Method},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {02},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {86-89},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=652},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=652
TI - Fingerprint Minutiae Identification Using RLC Method
T2 - International Journal of Computer Sciences and Engineering
AU - K. Kanagalakshmi
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 86-89
IS - 02
VL - 07
SN - 2347-2693
ER -

           

Abstract

This paper is aimed to design a scheme to mark and extract minutiae of fingerprint using Run-length Coding technique. Minutiae extraction takes vital role in fingerprint based authentication and identifications systems. The scheme comprises of binarization, thinning, minutia marking and extraction. The scheme is tested using the FVC database and real time fingerprint datasets. The Experimental results are presented.

Key-Words / Index Term

fingerprint, minutiae, filter, preprocessing, binarization, thinning, Gabor

References

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