Face Recognition Attendance System Using LBPH Algorithm

D Sinivasa Rao

Abstract


The world is getting refreshed quicker and quicker however a few things are not being refreshed; one of them is the Attendance framework. In ancient days the attendance is taken by signature on the paper. This process is a time consuming and burdensome process. Now some techniques came like RFID based attendance system but there is a chance to cope with the occurrence of malpractice. In this project, new technology is proposed namely Face recognition attendance system. In this system, a camera is placed, that camera will take a picture of the person and compares it with the database. If the image matches the database then attendance is given to that person. In this, the comparison is done by using the Local Binary Pattern Histogram(LBPH) Algorithm. Previously Principal Component Analysis(PCA) is used, compared to PCA, LBPH is the most efficiently working algorithm. By using the LBPH algorithm this system gives the best results.

References


. P. Wagh, S. Patil, J. Chaudhari, and R. Thakare, "Attendance System based on Face Recognition using

Eigenface and PCA Algorithms," in 2015 International Conference on Green Computing and Internet of Things (ICGCloT), 2015.

E. Rekha and P. Ramaprasad, “An efficient automated attendance management system based on Eigen Face recognition.” 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, pp. 605-608, 2017.

J. Joseph and K. P. Zacharia, “Automatic Attendance Management System Using Face Recognition.” International Journal of Science and Research (IJSR), ISSN (Online), pp. 2319-7064, 2013.


Full Text: PDF [Full Text]

Refbacks

  • There are currently no refbacks.


Copyright © 2013, All rights reserved.| ijseat.com

Creative Commons License
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.