MATEC Web Conf.
Volume 267, 20192018 2nd AASRI International Conference on Intelligent Systems and Control (ISC 2018)
|Number of page(s)||5|
|Section||Biological and Chemical Engineering|
|Published online||11 February 2019|
An Improved Bovine Iris Segmentation Method
School of Information Science and Engineering, Shaoguan University, Shaoguan 512005, China
2 School of Physics and Mechanical Engineering, Shaoguan University, Shaoguan 512005, China
a Corresponding author: firstname.lastname@example.org
In order to improve the performance of bovine iris image segmentation, an improved iris image segmentation algorithm is proposed according to the characteristics of bovine iris image. Firstly, based on mathematical morphology and noise suppression template, the inner and outer edges of bovine iris are detected by dynamic contour tracking and least squares fitting ellipse respectively. Then, the annular iris region is normalized. Finally, the normalized iris image is enhanced with adaptive image enhancement method. The experimental results show that the algorithm can effectively segment iris region, it has good performance of speed and accuracy for iris segmentation, and can eliminate the effects of uneven illumination, iris shrinkage and rotation, it promotes iris feature extraction and matching, which has certain reference significance for iris recognition research and meat food safety management of large livestock.
Key words: iris segmentation / dynamic contour tracking / least square method / bovine eye
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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