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离线汉字识别系统。基于特征检测的汉字识别系统，何以识别汉字/字符数字等。很适合学习基本原理的研究者使用。-offline Chinese character recognition system. Feature-based detection of Chinese character recognition system, why is recognition of Chinese characters / character statistics. Very suitable for stu
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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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字符识别 可用于车牌检测等 适合初学者研读-Character recognition can be used to read the license plate detection for beginners
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提供一个图像处理界面，可直接运行。能实现目标识别，检测，跟踪，对象匹配，字符识别。-To provide an image processing interface, can be directly run. To achieve the target identification, detection, tracking, object matching, character recognition.
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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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用VC开发联机数字、英文字符及汉字识别、人脸的检测与定位、图像的纹理分析方法、手写数字识别之模板匹配法等识别方法代码，均通过调试运行，希望对大家有所帮助-VC-line with the development of the number of English characters and Chinese character recognition, face detection and location, image texture analysis, handwritten numeral
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图片中字符识别，还不错，网上下的，边缘检测，字母，数字，符号识别-The picture character recognition, but also good under line, edge detection, letters, numbers, symbols identify the
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字符编码检测库，可以检测多种语言和多种编码。-Character encoding detection library, can detect multiple languages and multiple coding.
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车牌识别，车牌检测，文字识别，字符识别，车牌自动检测，字符分割，字符匹配-License plate recognition, license plate detection, character recognition, character recognition, license plate detection, character segmentation, character match
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车牌定位
字符分割算法
研究与实现
对车牌识别有些帮助-License plate location algorithm for character segmentation of license plate recognition and implementation of some help
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彩色图像人物皮肤区域检测，里面还有一篇原始文献，可以参照文献进行学习-Color image character areas of the skin detection
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用matlab软件编程进行中文字符的识别检测，包括预处理检测、边缘检测等-Chinese character recognition and detection using matlab software programming, including pre-treatment detection
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用matlab软件程序进行完整字符的OCR检测技术，对字符进行识别和检测-Complete character OCR detection technology to identify and detect the character using the Matlab software program
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首先，针对车牌图像预处理采用了灰度化、中值滤波等的算法。其次，车牌定位的模块中研究了基于Canny的车牌边缘检测算法和形态学操作，提高了系统定位的准确率。然后，用基于垂直投影的垂直切分算法对车牌进行字符切分。最后采用模板匹配的算法对车牌字符进行识别。 -Firstly, the license plate is with a gray image preprocessing, median filtering algorithm. Secondly, the plate positioning
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在VS2010的环境中，基于OpenCV和console窗口完成的字符检查系统首先选择读取文字图片后，能对图片中的文字进行行检测和列检测。-In the VS2010 environment, based on the character of inspection system OpenCV and console window completed first choose to read text images, can text on the picture for detection a
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带有鲁棒性的图像字符检测，从背景中提取进行识别-Character and image detection and recognition with robustness
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主要是车牌识别的代码，包括二值化，霍夫变换线条检测，区域生长算法，字符分割等-Mainly LPR code, including binary, Hough transform line detection, region growing algorithm, character segmentation
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门牌字符分割，利用图像处理的方法来进行定位以及相关位置分割-Number of character segmentation, to locate and position segmentation using image processing methods
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利用tesseractAPI和Opencv实现文字识别-Use tesseractAPI and Opencv achieve character recognition
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