Research Article
A Review Paper on Facial Detection Technique using Pixel and Color Segmentation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 62 - Issue 1 |
| Published: January 2013 |
| Authors: Chandrshekar S. Patil, A. J. Patil |
10.5120/10045-4629
|
Chandrshekar S. Patil, A. J. Patil . A Review Paper on Facial Detection Technique using Pixel and Color Segmentation. International Journal of Computer Applications. 62, 1 (January 2013), 21-24. DOI=10.5120/10045-4629
@article{ 10.5120/10045-4629,
author = { Chandrshekar S. Patil,A. J. Patil },
title = { A Review Paper on Facial Detection Technique using Pixel and Color Segmentation },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 62 },
number = { 1 },
pages = { 21-24 },
doi = { 10.5120/10045-4629 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Chandrshekar S. Patil
%A A. J. Patil
%T A Review Paper on Facial Detection Technique using Pixel and Color Segmentation%T
%J International Journal of Computer Applications
%V 62
%N 1
%P 21-24
%R 10.5120/10045-4629
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper a review is being carried out in the field of facial recognition and automatic human face detection. It has become a very popular tool in wide spaces of applications including the criminal investigation department in the forensic sciences along with the presentation of a biometric tool for the users to provide their unique identity. The databases for the face detection are a more genuine and easily accessible tool in carrying out the identification aspect when we don't have enough evidences for the finger prints collection. A review has been made in this field while considering the pixel operation and color segmentation based approach.
References
- Eric Hess ''Facial recognition: A valuable tool for Law Enforcement'', Forensic magazine, Vol. 7/ No. 5, November 2010.
- S. Ravi, S. Wilson, "Face detection with facial features and gender classification based on support vector machine", 2010 IEEE International Conference on Computational Intelligence and computing Research, ISBN: 97881 8371 362 7.
- Michael Padilla and Zihong Fan, " EE368 Digital Image Processing Project- Automatic Face Detection using Color Based Segmentation and Template/Energy Thresholding'', Department of Electrical engineering, EE368, Stanford University.
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