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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/15062

Title: Automated face localization and facial features detection using geometric information
Authors: Chai, Tong Yuen
Mohd Rizon, Mohamed Juhari, Prof. Dr.
Karthigayan, M.
Sugisaka, M.
Hazry, Desa, Dr.
Ibrahim, Z.
???metadata.dc.contributor.url???: chaitongyuen@gmail.com
Keywords: Face recognition;Facial features;Face detection;Iris detection
Issue Date: 12-Nov-2007
Publisher: Malaysia-Japan University Center (MJUC)
Series/Report no.: Proceeding of the Malaysia - Japan International Symposium on Advanced Technology (MJISAT) 2007
Abstract: This 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.
Description: Organized by Malaysia-Japan University Center (MJUC), 12th - 15th November 2007 at Seri Pacific Hotel, Kuala Lumpur, Malaysia.
URI: http://hdl.handle.net/123456789/15062
Appears in Collections:Hazry Desa, Assoc. Prof. Dr.
Conference Papers
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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