Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能-In this paper, and designed to achieve a free offline handwritten numeral recognition system. First, the identification number of the preconditioning treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the number of character strokes of structural features and characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching method to identify and MATLAB as a programming tool to achieve with a friendly graphical user interface of free handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance Platform: |
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Author:wangjinfeng |
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Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance. Platform: |
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Author:kongchao |
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Description: 思路简要说明：
1、图像二值化
将图片中的各点用0或1表示，1为有效点，0为背景。这里使用的是最大类间方差法
（otsu），在资料中有介绍。
2、去除干扰点
3、分割
将整个的图片分为每个单独的字，在下一步中才能一一识别。
4、与样本库进行对比，寻求最近似匹配
这步是比较核心的地方，由于要识别的图形每次都是随机变化的，我们不能进行完
全匹配识别，所以使用的是‘欧氏距离’来进行最近似匹配，资料中的《自由手写体
数字识别》里面有详细说明。
（样本库文件是按照匹配的特征通过事先编写的程序进行学习得到的）
该识别思路对目前很多验证码有效，识别速度快，正确率基本还可以（在一定程度内
样本量越大正确率越高），不能识别的情况也不少，比如字符粘连，导致程序无法正确
分割，从而识别失败，有朋友介绍神经网络识别方法不错，有空一定要学习下。-A brief description of ideas:
1, image binarization
Pictures of all the points expressed by 0 or 1, 1 for the effective point, 0 for background. Used here is the largest between-class variance
(Otsu), are introduced in the data.
2, removal of interference points
3, partition
The whole picture is divided into each individual character, in the next step in order to identify 11.
4, compared with the sample database, the search might match the recent
This step is to compare the core places, due to the recognition of each of the graphics changes are random, we can not be finished
Identification of the entire match, so the use of the Euclidean distance to be like the recent match, the information in the "free handwritten
Digital Identification, "which is described in detail.
(Sample library features in accordance with the matching pre-prepared through the process of learning to be)
The identification of a lot of ide Platform: |
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Author:yangq |
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Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper, designed and implemented an off-line handwritten numeral recognition system. The paper first pre-treatment identification numbers were introduced, including binarization, smoothing filter, normalization, thinning and other image processing methods secondly, to explore how to extract the number of characters in the structural characteristics and stroke features, and described in detail Knowledge of construction methods finally adopted in order to Knowledge-based template matching recognition method, and to MATLAB as a programming tool to achieve a friendly graphical user interface handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has good anti-noise performance. Platform: |
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Author:zhangying |
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Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-This paper describes and designs a free handwritten number recognition system. Firstly,
the pretreatment of the character to be recognized is introduced, including binarization, smoothing, normalization and thinning. Next, how to extract the structural features of the numbers is discussed, and we describe the constructing method of repository. Finally, we use the method of template matching, based on repository, to recognize the digital number. Matlab is used as a program tool to realize this free handwritten digital recognition system with friendly graphical user interface. The experimental results show that the rate of the recognition system is high, and the proposed method is robust to nois
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Author:feiying |
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Description: 简单的用于识别手写数字，先对数字进行特征提取，灰度化，二值化，特征提取-Simple to identify handwritten numbers, the first of the digital feature extraction, grayscale, binarization, feature extraction Platform: |
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Author:zuoan |
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Search - handwritten binarization