Automated face localization and facial features detection using geometric information
Chai, Tong Yuen
Mohd Rizon, Mohamed Juhari, Prof. Dr.
Hazry, Desa, Dr.
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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.