搜索资源列表
IRIS数据
- IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
Iris-Segmentation
- Daugman虹膜识别方法的研究,利用2_D Gabor filter进行Iris Recognition. MATLAB实现基于Daugman的虹膜提取算法源代码\\Iris-Segmentation
boRderofpupilandirisusingIntegrodifferentialperat
- human iris pattern recognition for biometrics
detectIris
- Detection of Iris with segmentation and dilatation, Not performant algorithm, better with hough transform
Segmentation
- iris segmentation matlab code
adjgamma
- AJUSTING GAMMA FOR IRIS IMAGE IN THE SEGMENTATION TAGE
iris_segmentation
- iris segmentation with hough transform
Segmentation
- 这是一个虹膜识别检测的周围元器件的程序描述，很完整，也是很好验证的-This is a test of iris recognition around the components of the program descr iption, it is complete and is good for validation
canny
- segmentation by canny filter in pre-processing process of iris recognition
matlab
- this is very good iris recognition code iris segmentation
newseg
- segmentation of iris.... the dist from inner pupil taken is 32 pixels... grayscale images used from casia database.
CODE
- 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
Integrodifferential-Segmentation
- Iris segmentation based on integro-differential operator
IRIS-SEGMENT
- WORKING CODE FOR IRIS SEGMENTATION
hpca2012_recognitionwow-fantastic
- iris segmentation wow fantastic baby
eye coding segmentation
- Iris segmentation isung circular hgough transform
iris-Segmentation-and-normalization
- Segmentation of iris and its normalization in matlab
iris
- Iris Segmentation Code Matlab
octr-(1)
- Vector quantization (VQ) is one of the lossy data compression techniques[1], [2] and has been used in number of applications, like pattern recognition [3], speech recognition and face detection [4], [5], image segmentation [6-9], speech data
iris
- Matlab code for iris segmentation and normalisation