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: |
Hits:
Description: 虹膜识别的一些源代码，供大家参考，是我做图像处理时候用的-Iris recognition to some source code for your reference, I do image processing time used Platform: |
Size: 4096 |
Author:方文利 |
Hits:
Description: matlab数字图像处理教程有友好的GUI操作界面，学习使用均方便-iris location Matlab source code, using a round, the method of testing a friendly GUI interface Platform: |
Size: 15360 |
Author:jevons |
Hits:
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: |
Size: 36864 |
Author:王兵 |
Hits:
Description: 图像识别的MATLAB代码，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Matlab source code of image recognition, including face recognition and iris recognition, iris position in the digital image in an effective location is the key problem of iris recognition. With an active contour model based method to locate the position of the iris, the first gray projection method used to detect a point inside the pupil as a pupil of the pseudo-center, the center can be as long as fall within the pupil. Platform: |
Size: 959488 |
Author:gaotengfei |
Hits:
Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
Size: 6918144 |
Author:张数 |
Hits:
Description: matlab编写的ISODATA算法，实验数据为Iris，代码注释详细，运行良好！-Matlab prepared by the ISODATA algorithm, the experimental data for the Iris code comment in detail, a good run! Platform: |
Size: 10240 |
Author:heart |
Hits:
Description: 基于KNN算法的鸢尾花分类代码，可一直在matlab上运行。-Iris classification code based on the KNN algorithm, has been running in matlab. Platform: |
Size: 2048 |
Author:陈臻荣 |
Hits:
Description: 该文件为Matlab上实现的贝叶斯分类算法，包含源码（含注释）、数据和运行结果。实例数据为UCI上下载的Iris数据包。-Bayesian classification algorithm developed in the Matlab,which contains the source code (including comments) and data(Iris Loaded the UCI), and operating results. Platform: |
Size: 6144 |
Author:欧阳 |
Hits:
Description: 实验将Iris花的数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。
使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。(The data set of Iris flower was divided into 2 groups, 75 samples in each group. Each group had 25 samples per flower. One group is the training sample for the above procedure, and the other one is the test sample. To facilitate training, 3 kinds of flowers were numbered 1, 2 and 3, respectively. Use these data to train a forward network with a 4 input (4 features respectively), and 3 output (for the size of the sample that belongs to a certain variety, respectively).) Platform: |
Size: 3072 |
Author:xk_悸动 |
Hits:
Search - iris code in matlab