1. Iris Location Algorithm Based on Union-Find-Set and Block Search
- Author
-
Xiao-li Duan, Li-qiang Zhang, and Long-yang Huang
- Subjects
Article Subject ,Computer science ,0206 medical engineering ,Iris recognition ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,urologic and male genital diseases ,Grayscale ,Convolution ,Hough transform ,law.invention ,Robustness (computer science) ,law ,Histogram ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,T1-995 ,cardiovascular diseases ,Electrical and Electronic Engineering ,Iris (anatomy) ,Instrumentation ,Technology (General) ,ComputingMethodologies_COMPUTERGRAPHICS ,urogenital system ,fungi ,020601 biomedical engineering ,female genital diseases and pregnancy complications ,ComputingMethodologies_PATTERNRECOGNITION ,medicine.anatomical_structure ,Jump search ,Control and Systems Engineering ,Computer Science::Computer Vision and Pattern Recognition ,Physics::Accelerator Physics ,020201 artificial intelligence & image processing ,Algorithm - Abstract
In view of the problem of unstable recognition effect and low robustness of a traditional iris location algorithm, an iris location algorithm based on union-find-set and block search is proposed. Firstly, the inner circle of the iris is roughly positioned by the method of retrieval, and then, the Hough transform is used to accurately locate the pupil. After that, the convolution operation is used to roughly locate the outer circle, and then, the original image is partitioned to search. And the grayscale change in the gray histogram of the screenshot is observed to accurately locate the outer circle. The obtained iris and the iris obtained by the traditional localization algorithm are processed by the same iris recognition algorithm. The results show that the proposed image is more effective in image recognition and has good robustness.
- Published
- 2021