DocumentCode
684788
Title
Face detection based on skin mask, number of holes and SVM
Author
Ghaderi, N. ; Ghaderi, A.H.
Author_Institution
Fac. of Eng., Shahrekord Univ., Sharekord, Iran
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
1
Lastpage
5
Abstract
This paper introduces a new 3-step face detection algorithm using MATLAB software. This 3-step algorithm is based on skin mask, number of holes in each region and Support Vector Machine (SVM) for face detection in RGB images. Due to the use of just 10 levels images in the proposed algorithm, the SVM training step is accomplished so fast. In addition, it will be shown that this method is so accurate in comparison with the previous methods, because of using these 10 levels just around the optimum threshold value.
Keywords
face recognition; image colour analysis; learning (artificial intelligence); mathematics computing; skin; support vector machines; 3-step face detection algorithm; MATLAB software; RGB images; SVM training step; number of holes; optimum threshold value; skin mask; support vector machine; Face Detection; Number of Holes; SVM; Skin Color;
fLanguage
English
Publisher
iet
Conference_Titel
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location
Shenzhen
Electronic_ISBN
978-1-84919-641-3
Type
conf
DOI
10.1049/cp.2012.2374
Filename
6755753
Link To Document