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dc.contributor.authorChai, Tong Yuen
dc.contributor.authorMohd Rizon, Mohamed Juhari, Prof. Dr.
dc.contributor.authorWoo, San San
dc.contributor.authorSugisaka, M.
dc.date.accessioned2011-10-20T04:07:48Z
dc.date.available2011-10-20T04:07:48Z
dc.date.issued2008-02-20
dc.identifier.citationp. 230-234en_US
dc.identifier.isbn978-960-6766-44-2
dc.identifier.issn1790-5117
dc.identifier.urihttp://www.wseas.us/e-library/conferences/2008/uk/ISPRA/ispra-38.pdf
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/14691
dc.descriptionLink to publisher's homepage at http://www.wseas.org/en_US
dc.description.abstractAn 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.en_US
dc.language.isoenen_US
dc.publisherWorld Scientific and Engineering Academy and Society (WSEAS)en_US
dc.relation.ispartofseriesProceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA '08)en_US
dc.subjectFace recognitionen_US
dc.subjectIris detectionen_US
dc.subjectMouth detectionen_US
dc.subjectFacial featuresen_US
dc.titleAutomatic detection of face and facial featuresen_US
dc.typeWorking Paperen_US
dc.contributor.urlchaitongyuen@gmail.comen_US
dc.contributor.urlrizon@unimap.edu.myen_US


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