Paper Title:
A Novel Approach of Face Detection Based on Skin Color Segmentation and SVM
  Abstract

Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and Support Vector Machine(SVM) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which are darker than their neighborhoods to filter candidate faces farther; at the end, SVM classifier is used to detect face feature in the test image, SVM has great performance in classification task. Our tests in this paper are based on MIT face database. The experimental results demonstrate that the proposed method is encouraging with a successful detection rate.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
437-441
DOI
10.4028/www.scientific.net/AMR.225-226.437
Citation
J. Zhang, Y. Li, "A Novel Approach of Face Detection Based on Skin Color Segmentation and SVM", Advanced Materials Research, Vols. 225-226, pp. 437-441, 2011
Online since
April 2011
Authors
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Price
$32.00
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