一种新的用于密码识别系统的IRIS规范化方法
A New IRIS Normalization Process For Recognition System With Cryptographic Techniques
摘要：
生物识别技术是个人身份识别系统的基础。它根据个人拥有的独特特征提供身份识别。本文以人眼虹膜成像为例，详细介绍了图像采集、分割、归一化、特征提取和匹配的过程。利用Canny边缘检测算法和圆形Hough变换检测人眼图像中的虹膜边界。利用图像配准技术对提取的虹膜区域进行归一化处理。一个相位相关的基础上的方法用于此虹膜图像配准的目的。虹膜区域的特征通过归一化虹膜区域与2D Gabor滤波器的卷积进行编码。汉明距离测量用于比较量化向量和认证用户。为了提高数据的安全性，直接采用Reed-Solomon技术对数据进行加解密。实验结果表明，我们的系统是相当有效的，并提供了令人鼓舞的性能。关键词：生物特征，虹膜识别，相位相关，密码学，Reed-Solomon
英文摘要：
Biometric technologies are the foundation of personal identification systems. It provides an identification based on a unique feature possessed by the individual. This paper provides a walkthrough for image acquisition, segmentation, normalization, feature extraction and matching based on the Human Iris imaging. A Canny Edge Detection scheme and a Circular Hough Transform, is used to detect the iris boundaries in the eye's digital image. The extracted IRIS region was normalized by using Image Registration technique. A phase correlation base method is used for this iris image registration purpose. The features of the iris region is encoded by convolving the normalized iris region with 2D Gabor filter. Hamming distance measurement is used to compare the quantized vectors and authenticate the users. To improve the security, Reed-Solomon technique is employed directly to encrypt and decrypt the data. Experimental results show that our system is quite effective and provides encouraging performance. Keywords: Biometric, Iris Recognition, Phase correlation, cryptography, Reed-Solomon
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
