Face detection algorithm based on skin color location

Guo-jun LIN; Ming-zhong YANG; Ming-ju CHEN; Mei XIE

doi:10.3788/YJYXS20193401.0070

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Face detection algorithm based on skin color location

Image Processing | 更新时间：2020-07-05

- Face detection algorithm based on skin color location
- Chinese Journal of Liquid Crystals and Displays Vol. 34, Issue 1, Pages: 70-73(2019)
- 作者机构：
  
  1.四川理工学院自动化与信息工程学院, 四川自贡 643000
  2.电子科技大学电子工程学院, 四川成都 611731
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20193401.0070
  CLC： TP391
- Received：12 July 2018，
  
  Accepted：29 October 2018，
  
  Published：2019-02
- 稿件说明：
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Guo-jun LIN, Ming-zhong YANG, Ming-ju CHEN, et al. Face detection algorithm based on skin color location[J]. Chinese journal of liquid crystals and displays, 2019, 34(1): 70-73.
DOI：

Guo-jun LIN, Ming-zhong YANG, Ming-ju CHEN, et al. Face detection algorithm based on skin color location[J]. Chinese journal of liquid crystals and displays, 2019, 34(1): 70-73. DOI： 10.3788/YJYXS20193401.0070.

摘要

进行人脸识别前，首先要精确定位出一幅图像中人脸的位置，为了快速定位人脸位置，本文提出一种肤色定位的人脸检测算法。首先将实际获取的彩色图像转换为YCbCr和HSI空间图像，并将

和

图像中的数值进行四舍五入处理，结合

、

和

的阈值去除大部分背景，再统计当前图像中的彩色部分的

和

值，分别取最多2个数值来共同确定肤色位置，最后由当前位置的亮度信息图像排除手等纯肤色部分，准确定位人脸。本文算法能提高正检率并降低误检率，有利于人脸检测。

Abstract

Face detection needs to locate the position of the face in an image before face recognition. In the paper

a face detection algorithm based on skin color location was presented for rapidly locating face position. Firstly

the actual obtained color images were converted into YCbCr and HSI space images. The numerical values of

and

image were rounded. A lot of spaces of background were eliminated with combining the thresholds of

and

. Secondly

the

and

values of the color part of the present image were counted

not more than two values of

and

were chosen respectively to jointly confirm skin color location. Finally

the luminance information image of the present location eliminated the pure skin color part such as hands to accurately locate face. The proposed algorithm can improve correct detection rate and reduce false detection rate to be beneficial to face detection.

关键词

Keywords

references

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