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Three-phase Pupil Localization Method in Non-ideal Eye Images
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作者 袁晓燕 施鹏飞 《Journal of Donghua University(English Edition)》 EI CAS 2008年第1期101-105,共5页
Pupil localization is a very important preprocessing step in many reel applications. Accurate and robust pupil localization in non-ideal eye images is a challenging task. A detailed method of pupil localization in non... Pupil localization is a very important preprocessing step in many reel applications. Accurate and robust pupil localization in non-ideal eye images is a challenging task. A detailed method of pupil localization in non-ideal eye images is proposed. This method is implemented in three main phases: first, segment the rough pupil region based on Gaussian Mixture Model: then modify the rough segmentation result using morphological method to minimize the influence of some disturbing factors; last estimate the pupil parameters based on minimizing the least square error. The proposed method is first tested on CASIA iris image dataset, and then on our self-captured iris dataset which contains a wider variety of iris images. Experiments show that the proposed method can perform well for nonideal eye images of various qualities. 展开更多
关键词 BIOMETRICS pupillocalization
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