Human Face Segmentation and Identification

dc.contributor.authorSirohey, Saad Ahmeden_US
dc.date.accessioned2004-05-31T21:01:42Z
dc.date.available2004-05-31T21:01:42Z
dc.date.created1993-11en_US
dc.date.issued1998-10-15en_US
dc.description.abstract(Also cross-referenced as CAR-TR-695) This thesis considers segmentation and identification of human faces from grey scale images with clutter. The segmentation developed utilizes the elliptical structure of the human head. It uses the information present in the edge map of the image and thr ough some preprocessing separates the head from the background clutter. An ellipse is then fitted to mark the boundary between the head region and the background. The identification procedure finds feature points in the segmented face through a Gabor wave let decomposition and performs graph matching. The segmentation and identification algorithms were tested on a database of 48 images of 16 persons with encouraging results.en_US
dc.format.extent2250419 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/400
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtComputer Science Department Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3176en_US
dc.relation.ispartofseriesCAR-TR-695en_US
dc.titleHuman Face Segmentation and Identificationen_US
dc.typeTechnical Reporten_US

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