Hardware implementation of fast pupil segmentation using region properties

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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationTwelfth International Conference on Quality Control by Artificial Vision
Subtitle of host publicationProceedings of SPIE
EditorsFabrice Meriaudeau, Olivier Aubreton
Place of PublicationBellingham, WA
PublisherSPIE
Pages1-10
Number of pages10
Volume9534
ISBN (Electronic)9781628416992
DOIs
Publication statusPublished - 2015
Event12th International Conference on Quality Control by Artificial Vision - Le Creusot, France
Duration: 3 Jun 20155 Jun 2015

Other

Other12th International Conference on Quality Control by Artificial Vision
CountryFrance
CityLe Creusot
Period3/06/155/06/15

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