Credit Card Reader with Face Recognition Using Webcam
Keywords:
Face recognition, ATM, biometric, voice modulation, principal component analysis.Abstract
Facial recognition software is a biometric computer application that is capable of identifying an individual by analysing or comparing his/her facial features. This paper proposes to use facial recognition in ATM systems to enhance security. Face recognition begins with an image, attempting to find a person in it. This can be accomplished using several strategies including movement, skin tones, or blurred human shapes. An ATM model that uses facial recognition would protect customers and financial organisations alike from intruders and identity thieves.
References
- https://ieeexplore.ieee.org/document/594211 8
- https://www.techopedia.com/definition/3207
- 1/facial-recognition
- Arunkumar, Vasanth Kumar, Naveenly King,
- Aravindan, “ATM Security using Face
- Recognition”, Technical Research Organisation India, vol-05, issue-04, pp 59-62 ISSN (PRINT): 2393-8374, (ONLINE):
- 2394-0697 (2018).
- Hossein Reza Babaei , Ofentse Molalapata and Abdul-Hay Akbar Pandor, “Face Recognition Application for Automatic Teller Machines (ATM)”, International Conference on Information and Knowledge Management (ICIKM 2012), IPCSIT vol.45, pp 211-216, 2012.
- Asst. Prof. Rohita P. Patil, Mohammadjaved
- R. Mulla, “A Review: Design and
- Implementation of Image Acquisition and Voice Based Security System”, International
- Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 4, Issue 3, pp 16511656, March 2015.
- Aru, Okereke Eze, Ihekweaba Gozie,
- “Facial Verification Technology for Use in Atm Transactions”, American Journal of Engineering Research(AJER), vol-02, issue-05, pp 188-193, p-ISSN: 2320-0936 (2013).
- Deepali H. Shah, Dr. J. S. Shah, “A Novel Approach to Face Recognition using Split
- PCA”, International Journal of Emerging Trends & Technology in Computer
- Science (IJETTCS), Volume 4, Issue 3, pp 130-132, p-ISSN 2278-6856 , May-June 2015.
- Stuart Geman, “Invariance and selectivity in the ventral visual pathway”, ElsevierJournal of Physiology, Volume-100, no. 04, October 2006.
- https://en.wikipedia.org/wiki/Principal_co mponent_analysis
- P. Jonathon Phillips, “Support Vector
- Machines Applied to Face Recognition
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.