DocumentCode
3125985
Title
Face detection based on skin color modeling and modified Hausdorff distance
Author
Alajel, Khalid Mohamed ; Xiang, Wei ; Leis, John
Author_Institution
Fac. of Eng. & Surveying, Univ. of Southern Queensland, Toowoomba, QLD, Australia
fYear
2011
fDate
9-12 Jan. 2011
Firstpage
399
Lastpage
404
Abstract
This paper presents a new face detection approach which is capable of detecting human faces from complex backgrounds. A new skin color modeling process is applied to the face segmentation process. Image enhancement is then used to improve the features of face candidates before feeding to the face object classifier which is based on a modified Hausdorff distance. The overall performance of the face detection system is evaluated and achieved a success rate of 87.5 %.
Keywords
face recognition; image colour analysis; image enhancement; image segmentation; object detection; skin; Hausdorff distance; complex backgrounds; face detection system; face object classifier; face segmentation process; human face detection; image enhancement; skin color modeling process; Face; Face detection; Filtering; Image color analysis; Image edge detection; Pixel; Skin;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2011 IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-8789-9
Type
conf
DOI
10.1109/CCNC.2011.5766499
Filename
5766499
Link To Document