Description: 该源代码为一国外硕士所写，有关虹膜特征提取的部分很有借鉴意义，希望从事图象处理方面研究的各位不要错过．-the source code for an overseas master's written, the iris feature extraction part of a useful one, want to engage in image processing research you should not miss. Platform: |
Size: 2370 |
Author:陈舟 |
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Description: 该源代码为一国外硕士所写，有关虹膜特征提取的部分很有借鉴意义，希望从事图象处理方面研究的各位不要错过．-the source code for an overseas master's written, the iris feature extraction part of a useful one, want to engage in image processing research you should not miss. Platform: |
Size: 2048 |
Author: |
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Description: 虹膜识别图象归一化处理，把环形虹膜区域归一为一个统一的矩形图象，方便下一步特征提取和匹配。-Iris recognition normalized image processing, the annular iris region normalized to a uniform rectangular images, the next step to facilitate feature extraction and matching. Platform: |
Size: 4096 |
Author:韩乐 |
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Description: 虹膜识别中的特征提取算法：2D-Gabor滤波器算法，将归一化的虹膜图像由此滤波器滤波，可以得到二进制的特征编码。附图片。-Iris recognition in the feature extraction algorithm: 2D-Gabor filter algorithm, the normalized iris image resulting filter can be obtained characteristics of the binary encoding. Attached picture. Platform: |
Size: 958464 |
Author:galaft |
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Description: 提出一种基于多纹理特征融合的新颖虹膜识别方法。该方法对虹膜图像做Gabor 小波变换
提取不同分辨力不同方向下的纹理特征作为虹膜的全局特征，在滤波后的子窗口图像上运用灰度
级共现矩阵(COM)提取虹膜的局部特征。通过加权欧几里德距离和最小距离分别对全局特征和局部
特征进行分类识别。-A texture feature fusion based on multi-novel iris recognition method. The method of iris image make Gabor wavelet transform extracted under different resolution in different directions as the texture feature of the overall characteristics of the iris, in the post-filter sub-window image using gray level co-occurrence matrix (COM) of the local feature extraction of the iris. Through the weighted Euclidean distance and minimum distance, respectively, on the global features and local features for classification. Platform: |
Size: 770048 |
Author:闫慧 |
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Description: 提出了一种新的基于小波过零检测的虹膜
识别算法,通过对分离的虹膜纹理采用小波变换来实现特征提取,最后通过Hamming距离完成模式匹配．-A new wavelet-based zero-crossing detection of the iris recognition algorithm, through the separation of the iris texture by wavelet transform to realize feature extraction, and finally through the Hamming distance from the completion of pattern matching. Platform: |
Size: 133120 |
Author:闫慧 |
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Description: 遗传+Gabor人脸/掌纹/指纹/虹膜等识别匹配程序。注意，该程序包含特征提取和匹配识别，但是对输入的图像要求最好是经过定位归一化的。没经过定位归一化的图像，识别效果较差。-Genetic+ Gabor Face/Palmprint/fingerprint/iris recognition, such as matching program. Note that the program contains the feature extraction and matching identification, but the input requirements of the best images is normalized positioning. Not normalized, after positioning of images, to identify less effective. Platform: |
Size: 9216 |
Author:曲晓峰 |
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Description: 是虹膜的定位和特征提取的代码，对于虹膜定位有一定的帮助。-Is the positioning of the iris code and feature extraction for iris location will certainly help. Platform: |
Size: 19456 |
Author:成琳 |
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Description: 使用Gabor小波进行特征提取的程序，可用于虹膜识别中的特征提取部分，一起还有虹膜识别的归一化程序-Gabor wavelet feature extraction using the procedure, can be used for feature extraction in iris recognition part, also with the normalized iris recognition program Platform: |
Size: 5736448 |
Author:Chen Jun |
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Description: 一篇有关使用水平集方法分割虹膜之后用遗传算法提取虹膜特征值并使用不对称的SVMs来进行匹配的虹膜识别算法的文章-A level set method for the use of the genetic algorithm after the split iris iris feature extraction and use of asymmetric SVMs value to match the iris recognition algorithms article Platform: |
Size: 1198080 |
Author:Chen Jun |
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Description: 一篇主要介绍使用变量水平集方法进行虹膜分割的文章，之后也有其相应的归一化算法介绍以及特征提取及少部分的虹膜匹配-Introduced a level set method using the variable iris segmentation article, and then there are the corresponding normalization algorithm description and a small number of feature extraction and iris matching Platform: |
Size: 1314816 |
Author:Chen Jun |
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Description: DWT and DCT based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification Platform: |
Size: 404480 |
Author:mhmd |
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Description: 基于二维小波变换和方向向量，提出一种新的虹膜特征提取方法。该方法的基本思想是考虑虹膜纹理的
灰度变化，对于多层小波分解后的低频分量，分别求其在4个方向上的方向向量，最后形成虹膜码。测试结果表明，该方法能
有效地提高虹膜的识别率，且算法简单、快速。
-The basic principle of the method is as follows.In view of iris textural intensity variation,for the low-
frequency components of multi-resolution decomposition,directional vector along four directions is obtained,and iris code is formed
in the end.According to test,the algorithm can enhance iris recognition rate.Furthermore,algorithm is simple and fast.
Platform: |
Size: 152576 |
Author:孙小鹏 |
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