An algorithm for human eye location in complex background based on image processing

Author

Wu Minjie ; Mu Pingan ; Dai Shuguang ; Zhang Caiyan

Author_Institution

Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China

fYear

2012

fDate

6-8 July 2012

Firstpage

4592

Lastpage

4595

Abstract

In order to reduce the impact of image background and illumination in face locating, this dissertation has put forward a new algorithm to locate human eyes, applying YCbCr model to extract human face region, and then locating eyes correctly according to geometry and pixel features of human eyes. Experimental results show that this algorithm can be applicable in images with different backgrounds and Nonuniform illumination environment. It has proved that it is realtime and accurate.

Keywords

eye; face recognition; feature extraction; geometry; image colour analysis; image segmentation; object detection; YCbCr model; face location; geometry; human eye location; human face region extraction; image background; image processing; nonuniform illumination; pixel feature; Face; Face recognition; Humans; Image color analysis; Image segmentation; Lighting; Skin; YCbCr skin color model; detection and location of human eyes; face recognition; image segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6359349

Filename

6359349