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Reseach Article

Mingle Face Detection using Adaptive Thresholding and Hybrid Median Filter

by Amandeep Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 10
Year of Publication: 2013
Authors: Amandeep Kaur
10.5120/11997-7883

Amandeep Kaur . Mingle Face Detection using Adaptive Thresholding and Hybrid Median Filter. International Journal of Computer Applications. 70, 10 ( May 2013), 13-17. DOI=10.5120/11997-7883

@article{ 10.5120/11997-7883,
author = { Amandeep Kaur },
title = { Mingle Face Detection using Adaptive Thresholding and Hybrid Median Filter },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 10 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number10/11997-7883/ },
doi = { 10.5120/11997-7883 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:30.428220+05:30
%A Amandeep Kaur
%T Mingle Face Detection using Adaptive Thresholding and Hybrid Median Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 10
%P 13-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face detection has many applications in the field of digital image processing like face recognition, face analysis etc. Various techniques have been proposed so far to detect faces in images by different researchers. This paper presents a noble face detection algorithm which integrates the adaptive segmentation and hybrid median filter to improve the performance of face detection algorithms. Single faces noisy images are considered in this research work to evaluate the performance of the proposed algorithm. The results are compared with some well known face detection algorithms.

References
  1. Chandrappa D. N. , Ravishankar M. , RameshBabu D. R. , "Face Detection in Color Images using Skin Color Model Algorithm based on Skin Color Information", 3rd International Conference on Electronics Computer Technology (ICECT), vol 1, page 254-258 , IEEE, 2011.
  2. Chen T. , Chen C. , Wang D. , Kuo Y. , " A People Counting System Based on Face-Detection", Fourth International Conference on Genetic and Evolutionary Computing, IEEE,2010.
  3. Kherchaoui S. , Houacine A. , "Face Detection Based On A Model Of The Skin Color With Constraints And Template Matching", International Conference on Machine and Web Intelligence (ICMWI), IEEE, 2010.
  4. Kumar C. N. R. , Bindu A. , "An Efficient Skin Illumination Compensation Model for Efficient Face Detection", 32nd Annual Conference on IEEE Industrial Electronics, 2006.
  5. Liu Q. , Peng G. , "A Robust Skin Color Based Face Detection Algorithm", 2nd International Asia Conference on Informatics in Control, Automation and Robotics , IEEE, 2010.
  6. Pan W. , Huang Y. , "A new algorithm of face detection under strong light condition", 2nd International Conference on Advanced Computer Control (ICACC), IEEE, 2010.
  7. Shehadeh H. , Al-khalaf A. , Al-khassaweneh M. , "Human Face Detection Using Skin Color Information", IEEE International Conference on Electro/Information Technology (EIT), 2010.
  8. Talele K. T. , Kadam S. , "Face Detection and Geometric Face Normalization", TENCON, Singapore, IEEE Region 10 Conference, 2009.
  9. Kumar V. , Priyanka, Kishore K. , "A Hybrid Filter for Image Enhancement", International Journal of Image Processing and Vision Sciences (IJIPVS) Volume?1 Issue?1 ,2012.
  10. Mustafa Z. F. , Abrahim B. A. , Kadah Y. M. , "K11. Modified Hybrid Median Filter for Image Denoising", 29th National Radio Science Conference (NRSC 2012)April 10-12, 2012, Faculty of Engineering/Cairo University, Egypt.
Index Terms

Computer Science
Information Sciences

Keywords

face detection adaptive thresholding hybrid median filter image processing single face image