doi: 10.4304/jsw.9.2.319-323
Eye Location Based on Hough Transform and Direct Least Square Ellipse Fitting
- 1 Faculty of Electronic and Electrical Engineering; Huaiyin Institute of Technology; Huai’an 223003, China
- 2 College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract
Feature extraction and location of eye are veryimportant in face expression recognition, human-computerinteraction, face detection and identification etc. This paperpresents a new efficient method for eye location. Firstly,gradient, integral image, and Hough transform are used toobtain location and radius of the pupil. Secondly, CANNYoperator and ellipse fitting of direct least square are used toobtain elliptic equation of the eyelid. Finally, the center ofthe ellipse is deemed to be the center of the eyelid, and theedge of fitting ellipse is deemed to be the edge of the eyelid.This method is extremely robust and accurate in the conditionthat two eyes are horizontal and inclined. The averageerror is less than 1.82 pixels.
Keywords
- Gradient;
- integral
- image;
- Hough
- transfor
How to Cite
Dingli Yang, Qiuchan Bai, Yulin Zhang, Rendong Ji, and 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. https://doi.org/ 10.4304/jsw.9.2.319-323
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).