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dc.contributor.authorMohamed Rizon, Mohamed Juhari-
dc.contributor.authorPhaklen Ehkan-
dc.contributor.authorAhmad Nasir, Che Rosli-
dc.date.accessioned2009-08-28T02:23:43Z-
dc.date.available2009-08-28T02:23:43Z-
dc.date.issued2005-05-18-
dc.identifier.citationp. 157-159en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7109-
dc.descriptionOrganized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 18th-19th May 2005 at Putra Palace Hotel, Kangaren_US
dc.description.abstractWe propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and normalizes the position, scale and image-plane rotation of the face using iris positions. The algorithm measures the degree of matching between the image and the face template of each person using normalized crosscorrelation value. Recognition of a human face is done using the highest degree of matching.en_US
dc.language.isoenen_US
dc.publisherKolej Universiti Kejuruteraan Utara Malaysiaen_US
dc.relation.ispartofseriesProceedings of the 1st National Conference on Electronic Designen_US
dc.subjectFace recognitionen_US
dc.subjectIris detectionen_US
dc.subjectTemplate matchingen_US
dc.subjectRecognition systemen_US
dc.subjectDetectorsen_US
dc.subjectImage processingen_US
dc.subjectHuman face recognition (Computer science)en_US
dc.titleRecognition of human front face in Grayscale Imagesen_US
dc.typeWorking Paperen_US
Appears in Collections:Conference Papers
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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