Human Eye Feature Extraction Based On Segmented Binarization

摘要：

For facial feature extraction problems, eye feature extraction is a basic and critical work. This paper presents a human eye feature extraction method based on segmented binarization. After binarization we detect the eye corner points by the corner detector which is based on the curve scale space. The detector uses adaptive threshold and dynamic region of support. Due to the corner detection errors, we propose a method which uses the mean of the local area around the corner to correct them. Experiments show that the proposed method is effective.

关键词： segmented binarization integral projection corner detection

作者: Ning Zhao Yao Lu

作者单位: Beijing Laboratory of Intelligent Information Technology,School of Computer Science and Technology, Beijing Institute of Technology,Beijing, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 304-307

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）