Hardware implementation of fast pupil segmentation using region properties

Taiq M. Khan; Yinan Kong; Muhammad A. U. Khan

doi:10.1117/12.2182881

30 April 2015 Hardware implementation of fast pupil segmentation using region properties

Taiq M. Khan, Yinan Kong, Muhammad A. U. Khan

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.

Citation Download Citation

Taiq M. Khan, Yinan Kong, and 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); https://doi.org/10.1117/12.2182881

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