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1)  multi-channel Gabor filters
改进型多通道Gabor滤波器
1.
It extracts texture features of handwriting image by multi-channel Gabor filters and makes classification by most neighboring classifier.
笔迹鉴别是通过分析手写字符的书写风格来判断书写人身份的一门技术,利用改进型多通道Gabor滤波器来提取笔迹图像的纹理特征,用最邻近分类器进行分类。
2)  multi-channel Gabor filtering
多通道Gabor滤波器
1.
This text takes the handwriting as a kind of texture, transform the writer identification for texture identification, withdraw the texture characteristics of handwriting images by multi-channel Gabor filtering, carry on the classification with the support vector machines.
本文把手写笔迹作为一种纹理来看待,将笔迹鉴别转化为纹理识别来处理,利用多通道Gabor滤波器来提取笔迹图像的纹理特征,用支持向量机进行分类。
3)  multi channel Gabor wavelets filters
多通道Gabor小波滤波器
4)  Improved Gabor filter
改进Gabor滤波器
1.
Improved Gabor filter is used to the training samples,and gets the face feature vector groups;In the detection step,firstly,the characteristics of intensity in eye region and symmetry in face were used for finding face candidates,and all the candidates were verified by improved Gabor filter to confirm the face or not.
为了提高人脸检测的速度,文章提出了一种基于图像和改进Gabor滤波器相结合的检测方法。
5)  multi-channel Gabor filter
多通道Gabor滤波
1.
A given image is decomposed by using quin-tree, and texture features of each subimage are extracted via multi-channel Gabor filter.
该方法用五叉树分解法层层分解图像,在利用多通道Gabor滤波器与图像做卷积得到滤波能量值基础上,提取各子图像24个滤波能量均值和均方差作为纹理特征,并计算查询图像和与其大小相当的数据库子图像的纹理特征相似性距离,从而获得与查询图像相似的数据库子图像。
6)  Gabor Multi-channel Filters
Gabor多通道滤波
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