Smart Rationing By Using Face and Finger Print Recognition System

Authors

  • S. Mohan  Assistant professor, Department of Electronics and communication Engineering, AVS ENGINEERING COLLEGE, Ammapet, Salem-3, Tamil Nadu, India
  • M. Kiruthika  Department of Electronics and communication Engineering, AVS ENGINEERING COLLEGE, Ammapet, Salem-3, Tamil Nadu, India
  • C. Keerthivani  Department of Electronics and communication Engineering, AVS ENGINEERING COLLEGE, Ammapet, Salem-3, Tamil Nadu, India
  • T. Deepa  Department of Electronics and communication Engineering, AVS ENGINEERING COLLEGE, Ammapet, Salem-3, Tamil Nadu, India

Keywords:

Internet Of Things (IOT), Image processing

Abstract

This paper is about the face and finger print recognition in ration shop. Ration cards plays an important role for the household details such as to get gas connection, family member details. There are many biometric process in that face recognition is the best method. In this paper we are going to describe the ration shop monitoring system without human interface and it processed by Raspberry Pi .This system also reduces the corruption in the current ration distribution system .This system will be verified with family member for authentication of user and validated the purchase by employee. The consumer gets a text message mentioning the purchase details by using IOT.

References

  1. Anshu Prasad, Aparna Ghenge, Sonali Zende, Sashikala Mishra, Prashant Godakh, “Smart Ration Card Using RFID, Biometrics & SMS Gateway”, IEEE International Conference on Inventive Communication & Computational Technologies(ICICCT), 2017
  2. Sridhar Iyar, IIT Bombay, www.it.iitb.ac.in/~sri.
  3. Kumbhar Aakanksha, Kumavat Sukanya, Lonkar Madhuri, Mr . A.S. Pawar, “Smart Ration Card System Using Raspberry-pi”, International Journal of Advanced Research in Computer & Communication Engineering, Vol. 5, Issue 4, April – 2016
  4. Mehta, Preeti, and Pankaj Tomar. "An Efficient Attendance Management System based on Face Recognition using Matlab and Raspberry Pi 2." International Journal of Engineering Technology Science and Research IJETSR 3.5 (2016): 71-78.

Downloads

Published

2021-04-10

Issue

Section

Research Articles

How to Cite

[1]
S. Mohan, M. Kiruthika, C. Keerthivani, T. Deepa, " Smart Rationing By Using Face and Finger Print Recognition System, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.624-627, March-April-2021.