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Description: 虹膜识别算法，包括定位，归一化，编码。很有用的算法。-iris recognition algorithms, including positioning, in the final one, coding. Useful algorithms.
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Size: 19014 |
Author: lujian |
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Description: 这是一个虹膜识别的Matlab程序，来自剑桥大学，好不容易搞到的，希望对大家有所帮租。
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Size: 1799760 |
Author: Yilun Ma |
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Description: 虹膜识别算法，包括定位，归一化，编码。很有用的算法。-iris recognition algorithms, including positioning, in the final one, coding. Useful algorithms.
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Size: 18432 |
Author: lujian |
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Description: 这是一个虹膜识别的Matlab程序，来自剑桥大学，好不容易搞到的，希望对大家有所帮租。-This is an iris recognition procedure of Matlab, from Cambridge, got hard, and I hope all of you to help rent.
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Size: 1799168 |
Author: Yilun Ma |
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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: code for iris recognition
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Size: 3304448 |
Author: sharad |
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Description: 虹膜识别程序，经典程序，别人，可以共同参考-Iris recognition procedure, the classical procedures, others may be a common reference
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Size: 19456 |
Author: 张伟龙 |
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Description: Matlab提供了两种方法进行聚类分析。
一种是利用 clusterdata函数对样本数据进行一次聚类，其缺点为可供用户选择的面较窄，不能更改距离的计算方法；
另一种是分步聚类：（1）找到数据集合中变量两两之间的相似性和非相似性，用pdist函数计算变量之间的距离；（2）用 linkage函数定义变量之间的连接；（3）用 cophenetic函数评价聚类信息；（4）用cluster函数创建聚类。
-Matlab provides two methods of cluster analysis. One is a function of the sample data using clusterdata to conduct a cluster, its disadvantages for the user to select a narrower face and can not change the method of calculating the distance the other is the sub-Buju categories: (1) find a data set variable pairwise similarity between the non-similarity, calculated using pdist function, the distance between variables (2) function definition with the linkage connection between variables (3) with the cophenetic clustering evaluation function, the information (4) with cluster function is to create clustering.
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Size: 18432 |
Author: 梁琨 |
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Description: iris recognition matlab application
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Size: 18432 |
Author: erdprg |
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Description: generates a biometric template from an iris in
an eye image.-generates a biometric template from an iris in
an eye image.
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Size: 16384 |
Author: samira |
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Description: 通过模式识别将虹膜提取出来，然后进行编码，并与数据库实现对比。-Pattern recognition to extract the iris, and then encode, and comparison with the database.
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Size: 17408 |
Author: changliguo |
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Description: work in matlab, iris detection
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Size: 2342912 |
Author: olynto |
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Description: 虹膜识别整个的程序源代码包括虹膜内外边界定位、虹膜特征提取等-Iris recognition throughout the program source code, including the inner and outer boundary positioning iris, iris feature extraction
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Size: 18432 |
Author: ntr |
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Description: 基于LiborMasek的虹膜识别代码，包括几张虹膜图片-Based LiborMasek iris recognition code, including a few iris image
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Size: 1282048 |
Author: 吴亚伟 |
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Description: this code is a source code for IRIS alghorithm
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Size: 19456 |
Author: hamid |
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Description: 里面是自己虹膜识别论文附带的程序，两种方法实现虹膜识别，附带有说明，可读性强，实用性高，完全能运行-Iris recognition inside his own papers accompanying program, two ways of iris recognition, comes with instructions, readable, high availability, fully able to run
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Size: 400384 |
Author: 童慧鑫 |
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Description: segmentiris - peforms automatic segmentation of the iris region
an eye image. Also isolates noise areas such as occluding
eyelids and eyelashes.
Usage:
[circleiris, circlepupil, imagewithnoise] = segmentiris(image)
Arguments:
eyeimage - the input eye image
Output:
circleiris - centre coordinates and radius
of the detected iris boundary
-segmentiris - peforms automatic segmentation of the iris region
an eye image. Also isolates noise areas such as occluding
eyelids and eyelashes.
Usage:
[circleiris, circlepupil, imagewithnoise] = segmentiris(image)
Arguments:
eyeimage - the input eye image
Output:
circleiris - centre coordinates and radius
of the detected iris boundary
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Size: 367616 |
Author: hanabou |
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Description: AADHAR ENROLLMENT FOR AUTHENTICATION
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Size: 18432 |
Author: elisha
|
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Description: 基于MATLAB的虹膜识别源代码（The source code of iris recognition based on MATLAB）(The source code of iris recognition based on MATLAB)
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Size: 37888 |
Author: 大大大王伟 |
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Description: 虹膜识别源代码，非常非常厉害，十分十分好用(iris recognition source code)
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Size: 18432 |
Author: BacheorMXL |
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