A Blended Biometric Approach Using Matching Score Level Architecture
K. Divya1 , K. G. R. Narayan2 , V. Ramachandran3 , R. Eswariah4
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-12 , Page no. 777-780, Dec-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i12.777780
Online published on Dec 31, 2018
Copyright © K. Divya, K. G. R. Narayan, V. Ramachandran, R. Eswariah . 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. Divya, K. G. R. Narayan, V. Ramachandran, R. Eswariah, “A Blended Biometric Approach Using Matching Score Level Architecture,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.777-780, 2018.
MLA Style Citation: K. Divya, K. G. R. Narayan, V. Ramachandran, R. Eswariah "A Blended Biometric Approach Using Matching Score Level Architecture." International Journal of Computer Sciences and Engineering 6.12 (2018): 777-780.
APA Style Citation: K. Divya, K. G. R. Narayan, V. Ramachandran, R. Eswariah, (2018). A Blended Biometric Approach Using Matching Score Level Architecture. International Journal of Computer Sciences and Engineering, 6(12), 777-780.
BibTex Style Citation:
@article{Divya_2018,
author = {K. Divya, K. G. R. Narayan, V. Ramachandran, R. Eswariah},
title = {A Blended Biometric Approach Using Matching Score Level Architecture},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {777-780},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3414},
doi = {https://doi.org/10.26438/ijcse/v6i12.777780}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.777780}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3414
TI - A Blended Biometric Approach Using Matching Score Level Architecture
T2 - International Journal of Computer Sciences and Engineering
AU - K. Divya, K. G. R. Narayan, V. Ramachandran, R. Eswariah
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 777-780
IS - 12
VL - 6
SN - 2347-2693
ER -
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Abstract
This paper aims at security authentication for an unmanned surveillance system. The system takes the Face image, impressions of a person’s finger and images of eyes and prepares a database. A blended biometric approach is followed for calculating the weighted average of scores appraised from the three most trivial biometric traits, Face, Eye and Finger impressions. The features are extracted from the pre-processed images of iris, face and finger impressions.The details of a probing image are to be matched with the database we have .the individual details obtained after tallying are sent to the fusion module. This module consists of three major steps i.e., Pre-Processing, Discrete Wavelet Transformation and Image fusion. At the final phase the hidden key Analysis approach is followed to authenticate the subject under investigation.
Key-Words / Index Term
Biometric Identity, IRIS Recognition, Finger print, Face Recognition, DWT, WAMS
References
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