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介绍数字图像统计模式识别、模式识别决策方法及实现：测试代码有人脸检测与特征点定位、汽车牌照识别、脑部医学影像诊断、印刷体汉字识别、手写体数字识别、运动图像分析，共6个数字图像模式识别应用实例-Introduction of digital image statistical pattern recognition, pattern recognition and realization of decision making: the test code was face detection an
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汉字识别，实现图片中印刷体汉字的识别。
完整的源代码，下载后即可编译。-Chinese character recognition, printed Chinese characters in the realization of picture identification. Complete source code can be compiled after downloading.
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In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words in
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一种基于字符骨架中封闭曲线特征和纵向线条特征的两级初分类算法,将原来含有62个元素的待识别字符集比较平均的分成了三个子集,降低了后续处理的难度。-Research on Printed Character Recognition System Based on BP Neutral Network
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BD络系统原理在印刷体汉字识别中的应用
BD络系统原理在印刷体汉字识别中的应用-BD network system printed Chinese character recognition in principle of network system applied the principle of BD at Printed Chinese Character Recognition
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用visual c++编写的汉字识别程序，包含源码和测试图片，可用于印刷体的汉字识别。-With visual c++ written in Chinese character recognition program, including source code and test images, can be used for printed Chinese character recognition.
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Character recognition software in a typical offline character recognition OCR program to recognize the printed characters, puts that goal. Recognize the special typeface print recognition, a single print recognition, multi-print is the kind of recogn
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实现对印刷体汉字的识别，在识别过程中，主要提取了5个特征：笔画特征，连通域个数，穿线特征，投影特征和粗外围特征。-Implementation of the printed character recognition, the recognition process, the main extracted five characteristics: stroke characteristics, the number of connected components, threading feat
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Optical Character Recognition (OCR) systems have been effectively
developed for the recognition of printed characters of non-Indian languages. Efforts
are on the way for the development of efficient OCR systems for Indian languages,
especially
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印刷体汉字识别，很好用，没断程序都有说明。-Printed Chinese character recognition, useful, no broken processes have been described.
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This paper presents a text line segmentation method
for printed or handwritten historical Arabic
documents. Documents are first classified into 2
classes using a K-means scheme. These classes
correspond to document complexity (easy or not eas
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印刷体汉字识别的几种特征提取和匹配识别的方法-Several printed Chinese character recognition feature extraction and recognition method matching
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fuzzy printed character recognition
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VC++环境下印刷体汉字的识别，包括源代码-VC++ environment, printed Chinese character recognition, including source code
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丁晓青印刷体汉字识别文章，汉字识别综述，发表于2002年的电子学报，是一篇不错的综述性文章-Xiao-Qing Ding printed Chinese character recognition article, Summary of the Chinese character recognition, electronic journal in 2002, is a good review article
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印刷体汉字识别，VC++。包括汉字的特征提取，分类器的设计，选用人工神经网络等方法。-Printed character recognition, VC++. Including Chinese characters feature extraction, classifier design, selection of artificial neural networks and other methods.
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一篇硕士论文，主要实现一种印刷体文档图像中的中文字符识别方法。-A master s paper, the main implementation of a printed document image Chinese character recognition method.
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基于特征匹配的英文印刷字符识别；同时开发了GUI程序运行进行实时检测-Based on feature matching printed English character recognition also developed a GUI program running real-time detection
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本案例为读取某印刷版本的英文文章图片，通过进行行分割、列分割来进行单词定位，然后与标准英文字符进行对比来实现识别-This case is reading a printed version of the English articles image by performing a dividing line, column split to locate a word, and then compare with the standard English characters to achie
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CNN卷积神经网络对字符进行训练、字符识别相关代码(Printed ink jet character recognition)
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