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0下载：
这是一个手写鉴别系统实例源程序,算法简单实用!-This is a instance source program of handwritten recognition system, the arithmetic is briefness and utility!
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手写数字识别程序。可用于对数字，英文，汉字的识别-Handwritten numeral recognition program. Can be used for digital, English, Chinese character recognition
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MATLAB 神经网络用于数字识别源程序 手写数字识别，有图例，大家可以看看,MATLAB neural network to identify the source for digital handwritten numeral recognition, there are legends, we will look at
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用于手写体数字识别的USPS样本数据库和将MAT格式的样本数据库转换成二值化图像并以行程编码存储,For handwritten numeral recognition of the USPS database and a sample format of samples MAT database into binary image and the Run-Length Coding storage
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实现神经网络的bp识别手写数字。改程序师用MATLAB实现的，里面代码可以直接用-Bp neural network to achieve handwritten numeral recognition. Reform program to achieve the division to use MATLAB, which code can be directly used
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一个手写体数字识别源码，有完整的识别程序-A handwritten numeral recognition source, a complete identification procedures
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模板匹配之手写数字识别系统,基于DELPHI 7.0-Template matching of handwritten numeral recognition systems, based on DELPHI 7.0
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The paper describe Segmentation and Recognition of Handwritten Numeric Chains
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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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1)实现手写阿拉伯数字的识别。
2)读入测试图象，鼠标选中相应区域，输出区域中的数字值。-1) to achieve the recognition of handwritten Arabic numerals. 2) read the test images, the mouse to select the appropriate region, the output of the digital value of the region.
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基于多特征提取的手写汉字识别算法及其实现.-Feature extraction based on multi handwritten Chinese character recognition algorithm and its implementation.
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采用BP神经网络对手写体数字进行识别。识别相当方便有效快捷-Using BP neural network to recognize handwritten digits. Very easy to identify effective and efficient
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手写数字识别数据集，MNIST，包括原始数据集的所有样本，以及抽取的2000个样本的子集，.mat格式。美国著名数据集NIST的子集，模式识别常用实验数据集-handwritten digits recognition ,dataset, MNIST from NIST, .mat file,
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基于VC++上的手写阿拉伯字符识别的程序源码，图像预处理上的程序源码-VC++ based on handwritten Arabic character recognition program source code, program source code on the image preprocessing
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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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自己制作基于“欧氏距离的算法”来识别文字的相似性，从而来识别手写文字的程序，开发环境是matlab.需要讲手写的字加到字库才可以哦。-Produce their own based on the " Euclidean distance algorithm" to identify the similarity of the text, handwritten text in order to identify the procedures, the development e
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用BP算法设计分类器，实现对UCI 机器学习数据库中0-9 这10 个手写体数字的训
练和测试。-BP algorithm designed classifier, to achieve the UCI machine learning database 0-9 10 handwritten digits training and testing.
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基于MATLAB并利用神经网络实现对手写数字0-9十个数字的识别代码-based on MATLAB and recognition of handwritten digits 0-9 it is mean to design a simple handwritten numeral recognition system using neural network.
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Handwritten Recognition using Neural Networks Based on Multiple Feature Extraction Algorithms
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Improving on-line handwritten recognition in interactive machine translation
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