A hierarchical neural network for human face detection

Authors:
Paul Juell;Ron Marsh
Affiliations:
Computer Science Department, North Dakota State University, Fargo, ND 58105, U.S.A.;Computer Science Department, North Dakota State University, Fargo, ND 58105, U.S.A.
Venue:
Pattern Recognition
Year:
1996

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Abstract

This paper summarizes a research effort in human face detection. A system to locate human faces in images, especially when used as a front-end for a human face identification system, could have many applications in the law enforcement and security professions. The approach presented here is a hybrid system using an edge-enhancing preprocessor and four back-propagation neural networks arranged in a hierarchical structure. The method proposed successfully detected faces wearing glasses and all faces in images which contained multiple faces. The results obtained are reported along with a discussion for improving the system.