Illumination Invariant Face Detection Using Hybrid Skin Segmentation Method


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

Unique Article ID: EJCSIT-115
Article Review Status: Published

Pages: 1-9 (Download PDF)

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