Automatic human face detection and recognition under non-uniform illumination

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

41 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1707-1718
Journal / PublicationPattern Recognition
Volume32
Issue number10
Publication statusPublished - Oct 1999
Externally publishedYes

Abstract

A system for automatic human face detection and recognition is presented. The procedure consists of five steps: (1) the Haar wavelet transform, (2) facial edge detection, (3) symmetry axis detection, (4) face detection and (5) face recognition. Step 1 decomposes an input image, reducing image redundancy. Step 2 excludes non-facial areas using edge information, whereas Step 3 narrows down face areas further using gradient orientation. Step 4 restricts face-like areas by template matching. Finally, Step 5 determines the best face location in the face-like areas and identifies the face based on principal component analysis (PCA). The system shows a remarkably robust performance under non-uniform lighting conditions. © 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. Keywords: Wavelet transform; Edge detection; Symmetry detection; Face detection; Face recognition; Template matching; Correlation; Principal component analysis; K-L expansion.

Research Area(s)

  • Correlation, Edge detection, Face detection, Face recognition, K-L expansion, Principal component analysis, Symmetry detection, Template matching, Wavelet transform

Citation Format(s)

Automatic human face detection and recognition under non-uniform illumination. / Kondo, Toshiaki; Yan, Hong.
In: Pattern Recognition, Vol. 32, No. 10, 10.1999, p. 1707-1718.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review