30 April 2015 Hardware implementation of fast pupil segmentation using region properties
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Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340F (2015) https://doi.org/10.1117/12.2182881
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France
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.
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Taiq M. Khan, Taiq M. Khan, Yinan Kong, Yinan Kong, Muhammad A. U. Khan, Muhammad A. U. Khan, } "Hardware implementation of fast pupil segmentation using region properties", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340F (30 April 2015); doi: 10.1117/12.2182881; https://doi.org/10.1117/12.2182881
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