基于小波变换统计矩的虹膜特征提取

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI:10.1109/ICTS.2016.7910297

N. Suciati, Afdhal Basith Anugrah, C. Fatichah, H. Tjandrasa, A. Arifin, D. Purwitasari, D. A. Navastara

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引用次数: 11

摘要

虹膜对每个人来说都是独一无二的，因此它可以作为人类身份识别的替代解决方案。本研究开发了一种虹膜识别系统，利用人眼图像数据自动识别人的身份。首先，利用Canny边缘检测和Hough变换方法检测人眼图像的虹膜区域;其次，利用小波变换的统计矩提取虹膜图像的纹理特征;在此基础上，利用支持向量机分类器对纹理特征进行识别。在CASIA眼图像数据集上进行实验，获得了良好的识别率，达到93.5%。

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Feature extraction using statistical moments of wavelet transform for iris recognition

Iris is unique for each person, so that it can be used as one alternative solution for human identification. In this study, an iris recognition system is developed to automatically identify a person by using eye image data. Firstly, iris area of eye image is detected using Canny Edge Detection and Hough Transform methods. Secondly, texture feature of iris image is extracted using statistical moments of Wavelet Transform. Furthermore, the texture feature representation is recognized using Support Vector Machine classifier method. Experiment on CASIA eye image dataset gives good recognition rate, that is 93.5%.

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2016 International Conference on Information & Communication Technology and Systems (ICTS)

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