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基于matlab的简易OCR程序，包括预处理，特征提取-based on the simple Matlab OCR procedures, including preprocessing, feature extraction
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vc++数字图像识别技术经典案例（光盘）:
第1章：颜色空间转换源码。第3章：指纹识别源码。第5章：基于可移植的C语言的数字水印算法的代码。第6章：条形码生成器源程序。第7章。第8章：印章特征提取。第9章：英文ocr识别。
-vc Digital Image Recognition Technology classic cases (CD) : Chapter 1 : color space conversion source. Chapter 3 : fingerprint ident
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The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extractio
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this document describes in details the freeman s chain code algorithm in regards to using for feature extraction in an OCR Application
it also describes all the necessary phases to develop an ocr
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ocr feature extraction in matlab for example
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feature extraction for OCR
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手写数字识别是“光学字符识别技术”（简称OCR）的一个分支，它研究的对象是：如何利用电子计算机自动辨认人手写在纸张上的阿拉伯数字。它包含样本图片，可以对图片进行预处理，特征提取，还可以给出网络训练的误差指数曲线图-How to use electronic computer automatically recognized people handwritten on paper Arabic numerals.It contains sample pictures, pictures can
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用支持向量机SVM实现对手写数字的特征提取与识别，其中数字是一笔写成。-Using support vector machine (SVM) to realize SVM opponent write digital feature extraction and recognition, including digital is a written.
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its a background directional distribution feature extraction for OCR
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The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extracti
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ELM超限学习机的拓展应用，多层感知机，可用于特征提取-
Expand the application ELM overrun learning machine, MLP can be used for feature extraction
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1、无限级多页采集，可以实现无限深度的采集
2、任务队列运行管理，支持Cron表达式
3、无限级分组任务管理，任务回收站功能
4、RSS地址采集功能
5、列表页分页采集获取功能
6、列表页附加参数获取功能
7、列表页及标签XPath可视化提取功能
8、标签纯正则替换功能
9、Http接口查看运行情况
10、导出记录为单个或多个Txt、html 文件
11、标签间自由组合功能
12、针对标签内容继续发送Http请求功能
13、无限级列表网址采集
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An algorithm to recognize distorted Machine and handwritten characters is proposed. It uses a feature point extraction-based recognition approach. A new verification scheme, which deals with this problem, is presented. A new feature extractor set is
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基于matlab的简易OCR程序,包括预处理,特征提取,很好的-The simple OCR program based on matlab, including pretreatment, feature extraction, very good
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