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: |
Size: 349184 |
Author:kongchao |
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Description: 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算
法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相
结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion. Platform: |
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Author:chenruibao |
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Description: 汽车牌照定位与字符识别 要定位汽车牌照并识别其中的字符，我们采用Matlab平台提供的一些图像处理函数,以傅立叶变换通过字符模板与待处理的图像匹配为核心思想。 -Vehicle license location to location and character recognition vehicle license and identify the characters, we use Matlab platform provides a number of image processing functions, Fourier transform through the characters in the template to be processed with the image matching as the core ideology. Platform: |
Size: 63488 |
Author:吕寿鹏 |
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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: |
Size: 350208 |
Author:zhangying |
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Description: 学数字图像处理课程做的一个大作业，车牌识别的，用matlab编程实现，并采用了自适应阈值法，最后用模板匹配的方法实现了车牌的自动识别功能-Learn digital image processing program to do a great job, license plate recognition with matlab programming, using the adaptive threshold method, and finally with the template matching method to achieve the automatic license plate recognition Platform: |
Size: 1037312 |
Author:xixi |
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Description: 关于数字图像处理中的ssda模板匹配方法。程序实现在指定图像中生成一个大小固定的矩形区域，然后用模板匹配法找出矩形位置。使用SSDA算法实现。包括源程序、待处理图像以及运行结果截图。-On digital image processing ssda template matching method. Procedures to achieve the specified image to generate a fixed size rectangular region, and then position the template matching method to find the rectangle. Using the SSDA algorithm. Including source code, pending results of the image and run shots. Platform: |
Size: 118784 |
Author:刘雨相 |
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Description: 基于matlab模板匹配的图像处理，找出图像位置。-Image processing based on matlab template matching to identify the position of the image. Platform: |
Size: 311296 |
Author:dnacyf |
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Description: 用于图像处理中的模板匹配，在一个大模板中标记出目标子模板(It is used for template matching in image processing, and the target sub template is marked in a large template.) Platform: |
Size: 98304 |
Author:chongzi290167 |
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Search - template matching image processing matlab