Iris Location Algorithm Based on the CANNY Operator and Gradient Hough Transform

1st International Workshop on Materials Science and Mechanical Engineering

材料科学;机械制造

Zhong, L.H.^1 ; Meng, K.^2 ; Wang, Y.^2 ; Dai, Z.Q.^1 ; Li, S.^1

College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming

650224, China^1

College of Mechanical and Manufacturing Engineering, Southwest Forestry University, Kunming

650224, China^2

关键词: Anti-interference;    Canny Operators;    Gradient Hough transforms;    Gradient informations;    Gray transformation;    Iris localization;    Iris recognition systems;    Recognition systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/281/1/012061/pdf
DOI  :  10.1088/1757-899X/281/1/012061

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In the iris recognition system, the accuracy of the localization of the inner and outer edges of the iris directly affects the performance of the recognition system, so iris localization has important research meaning. Our iris data contain eyelid, eyelashes, light spot and other noise, even the gray transformation of the images is not obvious, so the general methods of iris location are unable to realize the iris location. The method of the iris location based on Canny operator and gradient Hough transform is proposed. Firstly, the images are pre-processed; then, calculating the gradient information of images, the inner and outer edges of iris are coarse positioned using Canny operator; finally, according to the gradient Hough transform to realize precise localization of the inner and outer edge of iris. The experimental results show that our algorithm can achieve the localization of the inner and outer edges of the iris well, and the algorithm has strong anti-interference ability, can greatly reduce the location time and has higher accuracy and stability.