The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 32-379
Full Name: Mona Mursi
Position: Professor
Age: ON
Sex: Female
Address: POB 22452, Riyadh 11495
Country: SAUDI ARABIA
Tel: 503288366
Tel prefix: 966
Fax:
E-mail address: monmursi@yahoo.com
Other E-mails: mfmursi@ksu.edu.sa , monmursi@coeia.edu.sa
Title of the Paper: Face Detection and Counting in Color Images
Authors as they appear in the Paper: Mona F.M. Mursi , Ghazy M.R. Assassa , Abeer Al-Humaimeedy , Khaled Al Ghathbar
Email addresses of all the authors: monmursi@coeia.edu.sa, gassassa@coeia.edu.sa , humaimeedy@coeia.edu.sa , ghathbar@coeia.edu.sa
Number of paper pages: 10
Abstract: Abstract : To build fully automated systems that analyze the information contained in face images, robust and efficient face detection algorithms are required. Automatic human face detection is considered as the initial process of any fully automatic system that analyzes the information contained in human faces (e.g., identity, gender, expression, age, race and pose). In this paper, color segmentation is used as a first step in the human face detection process followed by grouping likely face regions into clusters of connected pixels. Median filtering is then performed to eliminate the small clusters and the resulting blobs are matched against a face pattern (ellipse) subjected to constraints for rejecting non-face blobs. The system was implemented and validated for images with different formats, sizes, number of people, and complexity of the image background. The results obtained were very satisfactory in terms of face identification and performance.
Keywords: Face detection, color segmentation, face pattern (ellipse)
EXTENSION of the file: .pdf
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