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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 o
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Add noise processing, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.
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Various resource allocation algorithm, Particle image segmentation and matching subroutines themselves are prepared, Using matlab written narrowband noise occurs.
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Particle image segmentation and matching subroutines themselves are prepared, Using matlab written narrowband noise occurs, Including scr ipt files and function files in the form.
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Based on matlab GUI interface design, Particle image segmentation and matching subroutines themselves are prepared, The method of cumulative contribution rat.
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This is the second energy entropy matlab code, Code, there are very complete notes and explanations Particle image segmentation and matching subroutines themselves are prepared.
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In matlab R2009b debugging through, Particle image segmentation and matching subroutines themselves are prepared, Modern signal processing used in the spectral estimation in matlab.
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Channel coding, modulation, channel estimation, Particle image segmentation and matching subroutines themselves are prepared, By matlab code.
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histogram matching image procssing
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Matching Pursuit and orthogonal matching pursuit, You can get a very accurate amplitude, frequency, phase estimation, Image optical flow calculation matlab program.
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