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Description: 利用MATLAB把虹膜图象展开，由一个圆环转变成一个矩形，便于后续操作.简单，经过实验操作证明完全可以实现虹膜图象的展开，实用-Iris images using MATLAB to start from a circle into a rectangle, to facilitate follow-up operation. Simple experiment to prove after the realization of the iris image can be unfolded, practical
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Size: 1024 |
Author: 罗生 |
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Description: 一个虹膜内圆的简单定位,经过实验可以使用,定位速度很快-Iris inner circle of a simple position, after the experiment can be used, positioning fast
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Size: 1024 |
Author: 罗生 |
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Description: 简单的虹膜内圆定位,定位效果良好,速度快,使用-Simple inner circle of the iris location, location good, fast, use the
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Size: 1024 |
Author: 罗生 |
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Description: libsvm支持向量机，用于识别分类。本程序成功用于虹膜识别的研究。是嵌入matlab的C程序-libsvm support vector machine, used to identify classification. The success of this procedure for iris recognition research. Is embedded in the C program matlab
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Size: 65536 |
Author: 张顺利 |
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Description: 虹膜识别的程序，基于matlab，可供初学者参考、学习-Iris recognition procedure, based on matlab, a reference for beginners to learn
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Size: 1024 |
Author: 吴梦 |
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Description: 怎样进行Iris部分的定位算法,Matlab code及说明-Iris how part of the positioning algorithm, Matlab code and description
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Size: 30720 |
Author: 唐龙 |
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Description: 得到虹膜内外圆的边缘，首先通过二值化，再选取阈值，最后得到两个边缘-Be the edge of the iris outside the circle, first of all, through the binarization, and then select the threshold value, and finally obtained from the two marginal
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Size: 830464 |
Author: yixiaofei |
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Description: 基于霍夫变换开发一种较通用的快速圆检测方法，并将之应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。-Hough transform based on the development of a more general-purpose fast circle detection methods, and to apply it to the detection of iris images, the completion of the iris inner and outer edge of the positioning.
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Size: 1024 |
Author: liming0028 |
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Description: 基于Hough变换的虹膜自动分割的matlab代码-Automatically based on Hough transform in iris segmentation matlab code
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Size: 11264 |
Author: zhanghao |
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Description: 一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify
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Size: 1024 |
Author: 军军 |
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Description: converts a given image from cartesian coordinates to polar
coordinates. 此code可以将一个Iris image变成一个polar coordinates image-converts a given image from cartesian coordinates to polarcoordinates. This code can be an Iris image into a polar coordinates image
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Size: 1024 |
Author: 唐龙 |
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Description: 基于遗产算法的FCM算法，且对iris标准数据集聚类，适用初学者。-Algorithm based on the heritage of the FCM algorithm, and clustering of the iris standard data categories, the application of beginners.
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Size: 4096 |
Author: 王庆飞 |
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Description: 用c#实现的fcm算法 采用iris数据进行验证-With c# Realize the FCM algorithm uses iris data validation
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Size: 33792 |
Author: 凉水 |
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Description: 模式识别分类器的设计，此为fisher法源码，经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the fisher law, adopted by the debugger. Data used as the standard IRIS.
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Size: 1024 |
Author: leestar |
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Description: 模式识别分类器的设计，此为LMS法源码，经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the LMS method, adopted by the debugger. Data used as the standard IRIS.
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Size: 1024 |
Author: leestar |
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Description: 采用霍夫变换,对虹膜外圆和外圆的精确定位.-Using Hough transform for iris outer circle and outer circle of the accurate positioning.
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Size: 2132992 |
Author: lixiangdi |
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Description: 对iris数据进行聚类分析的java源程序-Iris data of cluster analysis of java source code
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Size: 2048 |
Author: guifeng2002 |
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Description: K-mean算法，并通过了IRIS数据的测试。-K-mean algorithm, and through the IRIS data testing.
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Size: 3072 |
Author: 雅双 |
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Description: iris的程序，可以用来识别，有伪代码可参考。-iris procedures can be used to identify, there are pseudo-code can refer to.
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Size: 18432 |
Author: shbl |
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Description: 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图-Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan
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Size: 32768 |
Author: wanghuali |
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