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A Novel Approach to Face Detection Algorithm

by Pritam Singh, A.S. Thoke, Kesari Verma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 2
Year of Publication: 2011
Authors: Pritam Singh, A.S. Thoke, Kesari Verma
10.5120/3537-4836

Pritam Singh, A.S. Thoke, Kesari Verma . A Novel Approach to Face Detection Algorithm. International Journal of Computer Applications. 29, 2 ( September 2011), 25-29. DOI=10.5120/3537-4836

@article{ 10.5120/3537-4836,
author = { Pritam Singh, A.S. Thoke, Kesari Verma },
title = { A Novel Approach to Face Detection Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 2 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number2/3537-4836/ },
doi = { 10.5120/3537-4836 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:46.432105+05:30
%A Pritam Singh
%A A.S. Thoke
%A Kesari Verma
%T A Novel Approach to Face Detection Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 2
%P 25-29
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face detection is one of the important problem of image processing and pattern recognition. Most of the existing algorithm takes the frame of fixed size in order to detect the faces in any image. In any image it is possible that the image that are near are larger in size in comparison to the faces that are in back side. In this paper we proposed a novel approach for detection of faces of variable size frame. To detect the location of face we used template based algorithm for detecting the circle of eyes. In proposed algorithm we used upright, frontal faces, for a single gray scale images with decent resolution and under good lighting condition. The experiment were performed in windows operating system with matlab2010a software.

References
  1. Krestinin, I.A., Seredin, O.S.: Excluding cascading classifier for face detection. Proc. of the 19th Int. Conf. on Computer Graphics and Vision, 380–381 (2009).
  2. Kienzle, W., Bakir, G., Franz, M., Scholkopf, B.: Face detection – efficient and rank deficient, Advan. in neural inform. process. systems 17, 2005. – P. 673–680 (2005).
  3. Nikolay Degtyarev and Oleg Seredin, Tula State University. Comparitive testing of face detection algorithm The original publication is available at www.springerlink.com.
  4. Jesorsky, O., Kirchberg, K.J., Frischholz, R.W.: Robust face detection using the hausdorff distance, Lecture Notes in Computer Science, June, 90-95 (2001).
  5. M. H. Yang and N. Ahuja. Detecting huamn faces in color images. IEEE Proc. of Int. Conf. on Image Proc. (ICIP ’98), 1998.
  6. Nilamani Bhoi, Mihir Narayan Mohanty Matching based Eye Detection in Facial Image. International Journal of Computer Applications (0975 – 8887)Volume 12– No.5, December 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Face detection Face localization accuracy

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