CFP last date
22 April 2024
Reseach Article

A Survey on Face Recognition Technology - Viola Jones Algorithm

Published on August 2016 by Ankur Sahitya, Manjunath T N, Veena N
National Conference on “Recent Trends in Information Technology"
Foundation of Computer Science USA
NCRTIT2016 - Number 2
August 2016
Authors: Ankur Sahitya, Manjunath T N, Veena N
56e59e39-549f-4a74-905e-8ad92da4a707

Ankur Sahitya, Manjunath T N, Veena N . A Survey on Face Recognition Technology - Viola Jones Algorithm. National Conference on “Recent Trends in Information Technology". NCRTIT2016, 2 (August 2016), 33-38.

@article{
author = { Ankur Sahitya, Manjunath T N, Veena N },
title = { A Survey on Face Recognition Technology - Viola Jones Algorithm },
journal = { National Conference on “Recent Trends in Information Technology" },
issue_date = { August 2016 },
volume = { NCRTIT2016 },
number = { 2 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 33-38 },
numpages = 6,
url = { /proceedings/ncrtit2016/number2/25592-1636/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on “Recent Trends in Information Technology"
%A Ankur Sahitya
%A Manjunath T N
%A Veena N
%T A Survey on Face Recognition Technology - Viola Jones Algorithm
%J National Conference on “Recent Trends in Information Technology"
%@ 0975-8887
%V NCRTIT2016
%N 2
%P 33-38
%D 2016
%I International Journal of Computer Applications
Abstract

Computer vision is gaining momentum towards variety of applications in recent days, in this context, we have done survey of face recognition technology and algorithms for the current trend applications. Here we describe the necessity and adopted methods to detect a human face. Since the data is computed by the computer, many algorithms are developed to detect a face. Some of the key challenges for the process of face detection are discussed. A rapid approach to detect face developed by viola and jones is explained in brief. The 4 main concepts involved in the viola jones method such as haar features, integral image, Adaboost and classifier cascade are highlighted, this work will help image accelerators, enhancements, filmy and military purposes.

References
  1. Manisha V. Borkar, Bhakti Kurhade, A Research – Face Recognition by Using Near Set Theory, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 4, 2015 ISSN: 2277 128X.
  2. Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee, Face Detection and Recognition: Theory and Practice, CRC Press, 28-Oct-2015.
  3. White paper by Animetrics, Inc, Facial Recognition & Identity Resolution, 2012.
  4. Paul Viola, Michael J. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision 57(2), 2004.
  5. Paul Viola, Michael J. Jones, Fast Multi-view Face Detection, Mitsubishi Electric Research Laboratories, TR2003-096, August 2003.
  6. Henry A. Rowley, Shumeet Baluja, Takeo Kanade, Neural Network-Based Face Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 20, Issue 1, Jan 1998. Digital Object Identifier 10. 1109/34. 655647.
  7. Henry Schneiderman, Take o Kanade,A Statistical Method for 3D Object Detection Applied To Faces and Cars, IEEE Conference on ComputerVision and PatternRecognition 2000 proceedings, Volume1. Digital Object Identifier 10. 1109/CVPR. 2000. 855895.
  8. Christopher M. Bishop,Pattern Recognition and Machine Learning, first edition, Springer 2006.
  9. GaryB. Huang,Manu Ramesh,TamaraBerg,ErikLearned-Miller,LabeledFacesintheWild: A Database for Studying Face Recognition in Unconstrained Environments,University of Massachusetts,Amherst,TechnicalReport07-49,October2007.
  10. Brian W. Kernighan, Dennis M. Ritchie, The C Programming Language, second edition, PrenticeHallSoftwareSeries,1988
Index Terms

Computer Science
Information Sciences

Keywords

Adaboost Face Detection Challenges Haar Cascade