基于半眼小波的虹膜识别方法

5th International Conference on Intelligent Systems Design and Applications (ISDA'05) Pub Date : 2005-09-08 DOI:10.1109/ISDA.2005.6

A. Poursaberi, Babak Nadjar Araabi

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引用次数: 20

摘要

虹膜检测是虹膜识别系统的重要组成部分。虹膜分割的一个主要问题是处理由于眼睑和睫毛造成的闭塞。本文仅利用虹膜下部进行识别。基于小波的混合汉明纹理特征;采用谐波平均距离分类器进行识别。可以观察到，依赖较小但更可靠的虹膜部分，虽然减少了净信息量，但提高了整体性能。在CASIA数据库上的实验结果表明，该方法具有良好的性能，准确率可达99%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A half-eye wavelet based method for iris recognition

Iris detection is a crucial part of an iris recognition system. One of the main issues in iris segmentation is coping with occlusions that happen due to eyelids and eyelashes. In this paper, only the lower part of the iris is utilized for recognition. Wavelet based texture features along with a mixed Hamming; harmonic mean distance classifier is used for identification. It is observed that relying in a smaller but more reliable part of the iris, though reducing the net amount of information, improves the overall performance. Experimental results on CASIA database show that the method has a promising performance with an accuracy of more than 99%.

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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)

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