基于多类支持向量机的虹膜检测人脸识别

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI:10.1109/ICAECCT.2016.7942619

Ruchi Luhadiya, Anagha P. Khedkar

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引用次数: 5

摘要

有些关键应用需要高保密性和高安全性。为此，生物识别设备是很好的工具。在该系统中，提出了一种基于虹膜检测的生物特征认证系统。首先对虹膜图像进行预处理，然后对虹膜图像进行霍夫变换，最后利用道格曼模型对虹膜图像进行归一化处理。采用灰度共生(GLCM)技术进行特征提取，采用多类支持向量机进行分类。该系统在UPOL数据库上进行了测试，准确率达到94.23%。

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Iris detection for person identification using multiclass SVM

There are critical applications which need high confidentiality and high security. For this, biometric devices are great tools. In the proposed system, the biometric authentication system using iris detection is presented. In this iris image is preprocessed then Hough transform is applied and finally, the image is normalized using Daugman's rubbersheet model. Feature extraction is done using Gray Level Co-occurrence (GLCM) technique and classification is done using multiclass SVM. This system is evaluated on UPOL database and it gives 94.23% accuracy.

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2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)

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