Face Detection Technology Based on Skin Color Segmentation and Template Matching

Author(s):  
Chen Aiping ◽  
Pan Lian ◽  
Tong Yaobin ◽  
Ning Ning
2011 ◽  
Vol 225-226 ◽  
pp. 437-441
Author(s):  
Jing Zhang ◽  
You Li

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.


2014 ◽  
Vol 85 (14) ◽  
pp. 29-34
Author(s):  
Sabiha Sultana ◽  
Md. Saiful Islam ◽  
Md. Golam Moazzam

2004 ◽  
Vol 10 (2) ◽  
pp. 143-153 ◽  
Author(s):  
Qiu Chen ◽  
Koji Kotani ◽  
Yoshiyuki Taniguchi ◽  
Zhibin Pan ◽  
Tadahiro Ohmi

2013 ◽  
Vol 811 ◽  
pp. 417-421
Author(s):  
Shi Lei

Aiming at color images under complex background, this paper put forward a face detection algorithm based on skin color segmentation, combining the geometric characteristics. The skin region can be obtained by using skin color model and OTSU method to automatically optimize threshold segmentation image. By analyzing the characteristics of skin color region, the face position is determined by criterion of ellipse area.


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