A Method of Face Detection Based On Improved YCBCR Skin Color Model

DOI

10.2991/icmmct-16.2016.376How to use a DOI?

Keywords

Face detection Skin color Clustering feature Color space Mark image

Abstract

Face detection is a key technology in the information processing field of face recognition. The paper proposes a new face detection method to detect the human face. According to the clustering characteristics of Cb and Cr to detect the skin-color, then the image is labeled. The paper summarizes and presents a localization ears algorithm of human face. It also presents a method to locate the human chin based on the center line of pixel gray [CLPG]. The two methods can remove the interference of the ear and neck region. Experimental results show that the method can detect face quickly and accurately in an image and provide a certain value for the study of face recognition.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jihui Fan
AU  - Hongxing Wang
PY  - 2016/03
DA  - 2016/03
TI  - A Method of Face Detection Based On Improved YCBCR Skin Color Model
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1888
EP  - 1892
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.376
DO  - 10.2991/icmmct-16.2016.376
ID  - Fan2016/03
ER  -