Face detection using neural networks with skin segmentation

Added Title

International Conference on Cybernetics and Intelligent Systems (5th : 2011)
CIS 2011

College

Gokongwei College of Engineering

Department/Unit

Mechanical Engineering

Document Type

Conference Proceeding

Source Title

Proceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011

First Page

261

Last Page

265

Publication Date

12-12-2009

Abstract

Detecting faces in images remains a challenge in image processing and is currently an active area of research. A frontal face detection algorithm is presented in this paper. Skin colors were used to initially detect possible faces in the image. Using a search window, possible faces are processed using edge detection. These are then classified as faces or non faces using an artificial neural network classifier. The algorithm was tested in images with varying sizes and number of faces. Results from experiments demonstrate successful face detections. Ideas for future work are also included to close the paper. © 2011 IEEE.

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Digitial Object Identifier (DOI)

10.1109/ICCIS.2011.6070338

Disciplines

Electrical and Electronics | Mechanical Engineering | Systems and Communications

Keywords

Human face recognition (Computer science); Image segmentation

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