Description: 人眼虹膜识别的图像预处理，包括边缘检测，虹膜定位等，可以实现瞳孔的精定位-The human eye iris recognition of image pre-processing, including edge detection, iris positioning, you can realize the essence of pupil positioning Platform: |
Size: 2197504 |
Author:kongqiang |
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Description: 该程序用于实现虹膜图像的定位，用点线检测的方法代替传统的圆检测方法-The program used to implement the positioning of the iris image, with points and lines to replace the traditional method of detecting circle detection method Platform: |
Size: 83968 |
Author:smli |
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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 |
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Description: first it detects edge by canny edge detection method
then it uses hough transformation to find circles in an image.
after that it detects the iris Platform: |
Size: 1024 |
Author:Abid Abrar |
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Search - iris detection in an image