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dc.contributor.authorChai, Tong Yuen
dc.contributor.authorMohamed Rizon, Mohamed Juhari, Prof. Dr.
dc.contributor.authorMuhammad Shazri
dc.date.accessioned2011-10-21T02:34:05Z
dc.date.available2011-10-21T02:34:05Z
dc.date.issued2009-06
dc.identifier.citationTransactions on Signal Processing, vol. 5 (6), 2009, pages 209-218en_US
dc.identifier.issn1790-5022
dc.identifier.urihttp://www.wseas.us/e-library/transactions/signal/2009/29-527.pdf
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/14738
dc.descriptionLinks to publisher's homepage at http://www.wseas.org/en_US
dc.description.abstractIn this study, a computational algorithm has been developed to automatically detect human face and irises from color images captured by real-time camera. Haar cascade-based algorithm has been applied for simple and fast face detection. The face image is then converted into grayscale image. Three types of image processing techniques have been tested respectively to study its effect on the performance of iris detection algorithm. Then, iris candidates are extracted from the valley created at the face region. The iris candidates are paired up and the cost of each possible pairing is computed by a combination of mathematical models. Finally, the positions of the detected irises are used as a reference to refine the face region. The algorithm has been tested by quality images from Logitech camera and noisy images from Voxx CCD camera. The proposed algorithm has achieved 83.60% as the highest success rate of iris detection under a user-friendly and unconstraint office environment.en_US
dc.language.isoenen_US
dc.publisherWorld Scientific and Engineering Academy and Society (WSEAS)en_US
dc.subjectFace detectionen_US
dc.subjectIris detectionen_US
dc.subjectIllumination normalizationen_US
dc.subjectFace recognitionen_US
dc.titleReal-time detection of face and irisen_US
dc.typeArticleen_US
dc.contributor.urlchaity@utar.edu.myen_US
dc.contributor.urlmjuhari@ksu.edu.myen_US
dc.contributor.urlShazri.Shahri@extolcorp.comen_US


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