Volume 9 Number 2 (Feb. 2014)
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JSW 2014 Vol.9(2): 319-323 ISSN: 1796-217X
doi: 10.4304/jsw.9.2.319-323

Eye Location Based on Hough Transform and Direct Least Square Ellipse Fitting

Dingli Yang1, Qiuchan Bai1, Yulin Zhang1, Rendong Ji1, 2, Huanyu Zhao1
1Faculty of Electronic and Electrical Engineering; Huaiyin Institute of Technology; Huai’an 223003, China
2College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Abstract—Feature extraction and location of eye are very important in face expression recognition, human-computer interaction, face detection and identification etc. This paper presents a new efficient method for eye location. Firstly, gradient, integral image, and Hough transform are used to obtain location and radius of the pupil. Secondly, CANNY operator and ellipse fitting of direct least square are used to obtain elliptic equation of the eyelid. Finally, the center of the ellipse is deemed to be the center of the eyelid, and the edge of fitting ellipse is deemed to be the edge of the eyelid. This method is extremely robust and accurate in the condition that two eyes are horizontal and inclined. The average error is less than 1.82 pixels.

Index Terms—Gradient; integral image; Hough transform; CANNY operator; ellipse fitting of direct least square


Cite: Dingli Yang, Qiuchan Bai, Yulin Zhang, Rendong Ji, Huanyu Zhao, "Eye Location Based on Hough Transform and Direct Least Square Ellipse Fitting," Journal of Software vol. 9, no. 2, pp. 319-323, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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