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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15404

Title: Automatic Human face Counting in Digital Color Images
Authors: Mona F.M. Mursi
Ghazy M.R. Assassa
Abeer Al-Humaimeedy
Khaled Alghathbar
Keywords: Automatic human face, Median filtering
Issue Date: 2009
Abstract: Automatic human face detection is considered as the initial process of any fully automatic system that analyzes the information contained in human faces (e.g., identity, gender, expression, age, race and pose). In this paper, color segmentation is used as a first step in the human face detection process followed by grouping likely face regions into clusters of connected pixels. Median filtering is then performed to eliminate the small clusters and the resulting blobs are matched against a face pattern (ellipse) subjected to constraints for rejecting non-face blobs. The system was implemented and validated for images with different formats, sizes, number of people, and complexity of the image background
URI: http://hdl.handle.net/123456789/15404
Appears in Collections:College of Computer and Information Sciences

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