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dc.contributor.authorChai, Tong Yuen
dc.contributor.authorMohd Rizon, Mohamed Juhari, Prof. Dr.
dc.contributor.authorKarthigayan, M.
dc.contributor.authorSugisaka, M.
dc.contributor.authorHazry, Desa, Dr.
dc.contributor.authorIbrahim, Z.
dc.date.accessioned2011-10-27T04:42:02Z
dc.date.available2011-10-27T04:42:02Z
dc.date.issued2007-11-12
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/15062
dc.descriptionOrganized by Malaysia-Japan University Center (MJUC), 12th - 15th November 2007 at Seri Pacific Hotel, Kuala Lumpur, Malaysia.en_US
dc.description.abstractThis paper presents algorithms to detect irises of both eyes and mouth from color and intensity images and extracts intensity valleys from the race region. Next, the algorithm extracts iris candidates from the valleys and computes the costs for each of iris candidates. Finally, a pair if iris candidates is selected as irises by using the computed costs. Projection based method has been used to detect mouth corresponding to irises location. This algorithm has been tested with images from European database and South East Asian database.en_US
dc.language.isoenen_US
dc.publisherMalaysia-Japan University Center (MJUC)en_US
dc.relation.ispartofseriesProceeding of the Malaysia - Japan International Symposium on Advanced Technology (MJISAT) 2007en_US
dc.subjectFace recognitionen_US
dc.subjectFacial featuresen_US
dc.subjectFace detectionen_US
dc.subjectIris detectionen_US
dc.titleAutomated face localization and facial features detection using geometric informationen_US
dc.typeWorking Paperen_US
dc.contributor.urlchaitongyuen@gmail.comen_US


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