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An Authenticated Face Recognition Application for e-Payment using Python

K. Nagaraju1 , Adepu Rajesh2 , S.V. Hemanth3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 904-908, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.904908

Online published on Mar 31, 2019

Copyright © K. Nagaraju, Adepu Rajesh, S.V. Hemanth . 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. Nagaraju, Adepu Rajesh, S.V. Hemanth, “An Authenticated Face Recognition Application for e-Payment using Python,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.904-908, 2019.

MLA Style Citation: K. Nagaraju, Adepu Rajesh, S.V. Hemanth "An Authenticated Face Recognition Application for e-Payment using Python." International Journal of Computer Sciences and Engineering 7.3 (2019): 904-908.

APA Style Citation: K. Nagaraju, Adepu Rajesh, S.V. Hemanth, (2019). An Authenticated Face Recognition Application for e-Payment using Python. International Journal of Computer Sciences and Engineering, 7(3), 904-908.

BibTex Style Citation:
@article{Nagaraju_2019,
author = {K. Nagaraju, Adepu Rajesh, S.V. Hemanth},
title = {An Authenticated Face Recognition Application for e-Payment using Python},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {904-908},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3937},
doi = {https://doi.org/10.26438/ijcse/v7i3.904908}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.904908}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3937
TI - An Authenticated Face Recognition Application for e-Payment using Python
T2 - International Journal of Computer Sciences and Engineering
AU - K. Nagaraju, Adepu Rajesh, S.V. Hemanth
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 904-908
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Now a day due to rapid technology growth theft over transactions is emerging at higher rate. Although passwords are used as a level of authentication, the problem is solved at a certain extent. Another level of authentication may be introduced to provide secure transactions. Many biometric security provisions are employed today and selection of approach varies from application to application. Face recognition is one of popular authentication especially in the transaction areas. The major advantage of face based identification over other biometrics is uniqueness and acceptance. This system compares the image of the user with already registered image in the repository based on feature extraction, if it matches then the system proceeds to further processing. Whenever the user provides credentials in the form of password, an OTP is generated and is send to the registered mobile number. Later the system dynamically captures the facial image of the user through webcam of the system, Search in the registered repository on feature extraction approach basis then goes for comparison. If it found match then permits for e-payment procedure. Biometric applications implementation mostly use python environment due to adequate python features. Python is open source, portable, objects oriented software.

Key-Words / Index Term

Face recognition, Biometric, Repository, Feature extraction, Pattern recognition, Webcam

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