European Journal of Computer Science and Information Technology (EJCSIT)

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Illumination Invariant Face Detection Using Hybrid Skin Segmentation Method

Abstract

This paper describes a new face detection algorithm that retains its performance regardless of variations in illumination. It is a hybrid model that performs skin segmentation through a fast but coarse procedure and an adaptive thresholding process. Logical pixel combination of the results is performed to give a single skin-segmented image, which is then tested for the presence of a face through template matching. The model performed well for face detection especially for detecting dark faces under dark illumination. 83.8% and 76.4% detection rates were achieved when the algorithm was tested with images taken under good and poor illumination respectively.

Keywords: Face detection, Illumination, Skin segmentation, Template matching

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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