Face detection using template matching and skin-color information

Zhong Jin; Zhen Lou; Jingyu Yang; Quansen Sun

doi:10.1016/j.neucom.2006.10.043

Face detection using template matching and skin-color information

Zhong Jin, Zhen Lou, Jingyu Yang, Quansen Sun

Research output: Contribution to journal › Article › Research › peer-review

56 Citations (Scopus)

Abstract

A face-detection approach is proposed in the paper. Firstly, a luminance-conditional distribution model of skin-color information is used to detect skin pixels in color images; then, morphological operations are used to extract skin-region rectangles; finally, template matching based on a linear transformation is used to detect face in each skin-region rectangle. Experimental results on some color images from the FERET database and from the Internet are encouraging. The proposed algorithm is shown to be effective and efficient in detecting frontal faces in color images. © 2006 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	794-800
Journal	Neurocomputing
Volume	70
Issue number	4-6
DOIs	https://doi.org/10.1016/j.neucom.2006.10.043
Publication status	Published - 1 Jan 2007

Keywords

Face detection
Morphological operation
Skin-color information
Template matching

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10.1016/j.neucom.2006.10.043

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title = "Face detection using template matching and skin-color information",

abstract = "A face-detection approach is proposed in the paper. Firstly, a luminance-conditional distribution model of skin-color information is used to detect skin pixels in color images; then, morphological operations are used to extract skin-region rectangles; finally, template matching based on a linear transformation is used to detect face in each skin-region rectangle. Experimental results on some color images from the FERET database and from the Internet are encouraging. The proposed algorithm is shown to be effective and efficient in detecting frontal faces in color images. {\textcopyright} 2006 Elsevier B.V. All rights reserved.",

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author = "Zhong Jin and Zhen Lou and Jingyu Yang and Quansen Sun",

year = "2007",

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AU - Jin, Zhong

AU - Lou, Zhen

AU - Yang, Jingyu

AU - Sun, Quansen

PY - 2007/1/1

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N2 - A face-detection approach is proposed in the paper. Firstly, a luminance-conditional distribution model of skin-color information is used to detect skin pixels in color images; then, morphological operations are used to extract skin-region rectangles; finally, template matching based on a linear transformation is used to detect face in each skin-region rectangle. Experimental results on some color images from the FERET database and from the Internet are encouraging. The proposed algorithm is shown to be effective and efficient in detecting frontal faces in color images. © 2006 Elsevier B.V. All rights reserved.

AB - A face-detection approach is proposed in the paper. Firstly, a luminance-conditional distribution model of skin-color information is used to detect skin pixels in color images; then, morphological operations are used to extract skin-region rectangles; finally, template matching based on a linear transformation is used to detect face in each skin-region rectangle. Experimental results on some color images from the FERET database and from the Internet are encouraging. The proposed algorithm is shown to be effective and efficient in detecting frontal faces in color images. © 2006 Elsevier B.V. All rights reserved.

KW - Face detection

KW - Morphological operation

KW - Skin-color information

KW - Template matching

U2 - 10.1016/j.neucom.2006.10.043

DO - 10.1016/j.neucom.2006.10.043

M3 - Article

VL - 70

SP - 794

EP - 800

JO - Neurocomputing

JF - Neurocomputing

SN - 0925-2312

IS - 4-6

ER -

Face detection using template matching and skin-color information

Abstract

Keywords

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