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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/14691

Title: Automatic detection of face and facial features
Authors: Chai, Tong Yuen
Mohd Rizon, Mohamed Juhari, Prof. Dr.
Woo, San San
Sugisaka, M.
???metadata.dc.contributor.url???: chaitongyuen@gmail.com
rizon@unimap.edu.my
Keywords: Face recognition;Iris detection;Mouth detection;Facial features
Issue Date: 20-Feb-2008
Publisher: World Scientific and Engineering Academy and Society (WSEAS)
Citation: p. 230-234
Series/Report no.: Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA '08)
Abstract: An algorithm to automatically detect facial features from color images has been developed. First, face region is located using skin-color information. Then, the iris candidates are extracted from the intensity valleys created from the detected face. Next, the costs for each pair of iris candidates are computed to determine the real pair of irises. Mouth region and corners are detected using color space method, image processing and corners detection techniques. This algorithm has been tested to specifically reduce the effects of beard, moustache, hairstyle and facial expression in automated facial features detection.
Description: Link to publisher's homepage at http://www.wseas.org/
URI: http://www.wseas.us/e-library/conferences/2008/uk/ISPRA/ispra-38.pdf
http://hdl.handle.net/123456789/14691
ISBN: 978-960-6766-44-2
ISSN: 1790-5117
Appears in Collections:Conference Papers
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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