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Proceedings Paper

Hardware implementation of fast pupil segmentation using region properties
Author(s): Taiq M. Khan; Yinan Kong; Muhammad A. U. Khan
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Paper Abstract

This paper presents a novel approach for automatic pupil segmentation. The proposed algorithm uses local histogram-based threshold, area and eccentricity that looks for the region that has the highest probability of having the pupil. Proposed algorithm is implemented on FPGA using a non-iterative scheme along with hardware optimized median filter and connected component logic algorithm. The proposed algorithm is tested on two public databases namely: CASIA v1.0 and MMU v1.0. Experimental results show that the proposed method has satisfying performance and good robustness against the reflection in the pupil.

Paper Details

Date Published: 30 April 2015
PDF: 10 pages
Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340F (30 April 2015); doi: 10.1117/12.2182881
Show Author Affiliations
Taiq M. Khan, Macquarie Univ. (Australia)
Yinan Kong, Macquarie Univ. (Australia)
Muhammad A. U. Khan, Effat Univ. (Saudi Arabia)

Published in SPIE Proceedings Vol. 9534:
Twelfth International Conference on Quality Control by Artificial Vision 2015
Fabrice Meriaudeau; Olivier Aubreton, Editor(s)

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