Dollar bill denomination recognition algorithm based on local texture feature

机译：基于局部纹理特征的美元面额识别算法

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摘要

In this paper, a dollar bill denomination recognition algorithm based on local texture feature is proposed. this paper proposes a local texture feature dollar denomination recognition algorithm, this algorithm first use the between-cluster variance method about the dollar's local image binarization to enhance the effect of differences, and then through the cross algorithm to extract the local texture feature, which makes the recognition work correctly. The simulation results show that the method is fast, high precision, suitable for real-time face recognition.

机译：提出了一种基于局部纹理特征的钞票面额识别算法。本文提出了一种局部纹理特征的美元面额识别算法，该算法首先采用关于美元局部图像二值化的簇间方差法来增强差异效果，然后通过交叉算法提取局部纹理特征，从而识别工作正常。仿真结果表明，该方法速度快，精度高，适合实时人脸识别。

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来源
《2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics》|2014年|269-272|共4页
会议地点 Wuhan(CN)
作者
You Xinge; Hu Qingjiang; Xu Duanquan; Fu Xiangxu; Sun Qixin;
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作者单位

Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Clustering algorithms; Decision support systems; Face recognition; Feature extraction; Image recognition; Sun; Dollar denominations recognition; crossing algorithm; local texture extraction; otsu method;

机译：聚类算法；决策支持系统；人脸识别；特征提取；图像识别；太阳；美元面额识别；交叉算法；局部纹理提取；大津法；;

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6. Uniform Local Binary Pattern Based Texture-Edge Feature for 3D Human Behavior Recognition [O] . Yue Ming, Guangchao Wang, Chunxiao Fan -1

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Dollar bill denomination recognition algorithm based on local texture feature

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