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采用Gabor-Hough变换的自适应滤波人眼定位

尚骁 吴进

电讯技术2016,Vol.56Issue(3):324-330,7.
电讯技术2016,Vol.56Issue(3):324-330,7.DOI:10.3969/j.issn.1001-893x.2016.03.016

采用Gabor-Hough变换的自适应滤波人眼定位

Eye Location Based on Adaptive Filter Using Gabor-Hough Transform

尚骁 1吴进1

作者信息

  • 1. 西安邮电大学 电子工程学院,西安710121
  • 折叠

摘要

Abstract

Eye location is the first step of the face recognition. Traditional eye location methods need to cut the face,and the situation is single. For complex background or leaned images,the methods have low accu-racy and poor tolerance. In this paper,the improved adaptive filter is combined with the traditional positio-ning methods. Firstly,the original image is transformed with the Gabor Transform to find the sag regions. In these regions the pupil is detected with edge pixel vector improved Hough Transform to gain the first ref-erence coordinates. The filter is trained and rotated for two times to get three coherent filters,then the im-age goes though the coherent filters to find three target coordinates. Finally,the best target which has the minimum error is chosen as the final target. Compared with the traditional methods,the new method avoids the weakness of aimless computation and has the general applicability of the traditional method. At the same time,the adaptive filter makes the mean error reduce to 0. 040 4,and computing pressure reduce to 1/5. The method has better robustness for different illumination, uneven illumination, different counte-nance,complex background images and leaned head images,thus avoiding the situation of locating no tar-gets and wrong targets with single method.

关键词

人脸识别/人眼定位/自适应滤波/Gabor变换/Hough变换

Key words

face recognition/eye location/adaptive filter/Gabor transform/Hough transform

分类

电子信息工程

引用本文复制引用

尚骁,吴进..采用Gabor-Hough变换的自适应滤波人眼定位[J].电讯技术,2016,56(3):324-330,7.

基金项目

国家自然科学基金资助项目(61272120) (61272120)

陕西省教育厅2013年科学研究计划项目(2013JK1129) (2013JK1129)

陕西省教育厅2014年科学研究计划项目(14JK1673) (14JK1673)

陕西省2013年度自然科学基础研究计划项目(2013JC2-32) (2013JC2-32)

陕西省2014年度自然科学基础研究计划项目(2014JQ5183) Foundation Item:The National Natural Science Foundation of China(No.61272120) (2014JQ5183)

2013 Scientific Research Projects of Education Depart-ment of Shaanxi Province(2013JK1129) (2013JK1129)

2014 Scientific Research Projects of Education Department of Shaanxi Province (14JK1673) (14JK1673)

2013 Natural Science Basic Research Program of Shaanxi Province(2013JC2-32) (2013JC2-32)

2014 Natural Science Basic Research Program of Shaanxi Province(2014JQ5183) (2014JQ5183)

电讯技术

OA北大核心CSTPCD

1001-893X

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