Description: 贝叶斯分类器的C++源码，用IRIS作类例子，通俗易懂，适合作模式识别、图像处理研究开发用！-Bayesian classifier C source code, using IRIS category for example, easily understood and suitable for pattern recognition, Image processing research and development with! Platform: |
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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: |
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Description: 用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。-IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifiers, pattern recognition part of the operating code. Platform: |
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Author:王兵 |
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Description: 虹膜识别预处理论文
计算机本科毕业论文
包含: 演示ppt,论文(18 553字),可运行源代码(vc++6.0,有效代码5000行以上),虹膜演示图片(2张)
论文的简介:
从普通的bmp中提取虹膜图像并展开成正方形的虹膜图像,没涉及到识别内容,
论文围绕如何定位虹膜和展开虹膜进行论述,包含C++源代码.
特别声明:
本论文仅供参考,请勿随意抄袭和拷贝,让做这方面论文的同学提供第一手资料,避免
走很多同样的弯路.-Pretreatment of iris recognition computer undergraduate thesis papers include: presentation ppt, paper (18,553 words), can run the source code (vc++6.0, more efficient code, 5000 lines), the iris shows pictures (2) Introduction to the paper: From bmp common iris image and start extracting the iris image into a square, not related to identifying the content, the paper started on how to locate the iris and iris were discussed, including C++ source code. Special: This paper is for reference only, Please do not copy and copy paper so that the students do this to provide first-hand information, to avoid taking many of the same detour. Platform: |
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Author:fred |
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Description: 基于VC的虹膜识别的源代码，可以实现虹膜识别，有较高的收藏价值-Source code of VC-based iris recognition, iris recognition can be achieved, high value for collection Platform: |
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Author:李恒 |
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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.
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Author:孙小鹏 |
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Description: 一个毕业生写的虹膜识别代码 使用性不强· 可以用来学习 Opencv -A graduate writing code that uses iris recognition is not strong & can be used to learn Opencv Platform: |
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Author:qweqw |
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Search - iris recognition code