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A rapid iris location method based on the structure of human eyes
Weiqi Yuan1, Zhonghua Lin, Lu Xu
1Comput. Vision Group, Shenyang Univ. of Technol.
Summary
This study introduces a rapid iris location algorithm for iris recognition, achieving high precision and speed. The new method significantly improves the efficiency of iris boundary detection.
Area of Science:
- Biometrics
- Computer Vision
- Image Processing
Background:
- Iris location is crucial for accurate iris recognition.
- Existing iris location methods often lack speed and robustness.
- Efficient iris localization is essential for real-time biometric systems.
Purpose of the Study:
- To develop a rapid and robust iris location algorithm.
- To improve the speed and precision of iris boundary detection.
- To enhance the overall performance of iris recognition systems.
Main Methods:
- Utilizes gray projection and thresholding for initial pupil boundary and center estimation.
- Employs Hough transform for precise pupil boundary and center refinement.
- Applies direction edge detection operators to accurately locate iris boundaries with sclera.
Main Results:
- Achieves an average speed of 0.2 seconds for iris location.
- Demonstrates a high precision rate of 99.45% in iris boundary detection.
- Outperforms existing methods in terms of localization speed.
Conclusions:
- The proposed rapid iris location algorithm is effective and efficient.
- The method offers a significant speed improvement over conventional techniques.
- This algorithm contributes to the advancement of real-time iris recognition technology.
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