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Proceedings Paper

Automatic facial pattern extraction from color images using knowledge-based multistep filtering technique
Author(s): Demas S.E.F. Sanger; Hideaki Haneishi; Yoichi Miyake
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Paper Abstract

The paper described a technique for extracting the facial patterns from color images recorded in different imaging media. First, we extracted the skin-color pixels on the basis of statistical probability analysis of ellipsoid distributions of skin-color pixels' hue and saturation in the lightness intervals. The skin-color regions were segmented and labeled by applying the techniques of binary digital image processing. We observed 20 values of mensuration pattern variables in each region. The facial patterns were extracted from skin-color regions by evaluating their pattern variable values using the knowledge-based multistep filtering technique. This technique could extract the facial patterns from color images simply and automatically as verified by the experimental results. It is significant for operations or systems where locating and detecting the facial pattern are critical important.

Paper Details

Date Published: 22 August 1995
PDF: 5 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217390
Show Author Affiliations
Demas S.E.F. Sanger, Chiba Univ. (Japan)
Hideaki Haneishi, Chiba Univ. (Japan)
Yoichi Miyake, Chiba Univ. (Japan)


Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

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