Face detection based on skin color modeling and modified Hausdorff distance
Alajel, Khalid Mohamed, Xiang, Wei, and Leis, John (2011) Face detection based on skin color modeling and modified Hausdorff distance. In: Proceedings of the IEEE Consumer Communications and Networking Conference. pp. 399-404. From: CCNC 2011: IEEE Consumer Communications and Networking Conference, 9-12 January 2011, Las Vegas, NV, USA.
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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 %.
Item ID: | 52373 |
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Item Type: | Conference Item (Research - E1) |
ISBN: | 978-1-4244-8789-9 |
Funders: | General Peoples Committee for Higher Education, Libyan Arab Jamahiriya, International Science Linkages |
Date Deposited: | 06 Feb 2018 03:53 |
FoR Codes: | 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 100% |
SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100% 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100% |
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