Description: 用于手写体字符识别的BP神经网络算法,用C语言编写,需要用一定数据的进行训练,然后用三层网络进行识别,可以试一试.-for Handwritten Character Recognition BP neural network algorithm, using C language, need certain data for training, and then use the three-tier network identification, may try. Platform: |
Size: 7563 |
Author:高小梅 |
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Description: OCR字符识别源代码，基于神经网络，用C#写的 -OCR character recognition source code, based on neural network, using the C# to write Platform: |
Size: 54272 |
Author:谭剑 |
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Description: 模式识别中的脱机字符识别，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法及细化算法。-pattern recognition of Offline Character Recognition, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching, digital identification neural network and refinement algorithm. Platform: |
Size: 203776 |
Author:林晓芸 |
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Description: 用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition Platform: |
Size: 34816 |
Author:wenwen |
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Description: We present a video caption detection and recognition
system based on a fuzzy-clustering neural network (FCNN) classifier.
Using a novel caption-transition detection scheme we locate
both spatial and temporal positions of video captions with high precision
and efficiency. Then employing several new character segmentation
and binarization techniques, we improve the Chinese
video-caption recognition accuracy from 13 to 86 on a set of
news video captions. As the first attempt on Chinese video-caption
recognition, our experiment results are very encouraging.-A spatial-temporal approach for video caption date Platform: |
Size: 466944 |
Author:段军伟 |
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Description: 采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies Platform: |
Size: 105472 |
Author:caoliang |
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Description: 采用MATLAB实现Hopfield神经网络算法，并用其来进行字符识别。实验包括单个噪声字符的识别和多个噪声字符的识别两部分。并从这两方面对实验数据进行了分析与对比。-Hopfield neural network implementation using MATLAB algorithm, and use it to carry out character recognition. Experiments included a single noise, character recognition and character identification number of the noise in two parts. From both the experimental data were analyzed and compared. Platform: |
Size: 3072 |
Author:caoliang |
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Description: Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time series prediction, function approximation, clustering, etc.
In this article, I ll try to review some approaches for optical character recognition using artificial neural networks. The attached project is aimed as a research project, so don t try to find here a ready solution for scanned document processing.
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Size: 367616 |
Author:reyjav |
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Description: Extension Neural Networks by Wang for character recognition using the given features of any particular attribute of a genetic entity Platform: |
Size: 211968 |
Author:Surbhi |
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Description: 用神经网络实现对单个字符的识别
用神经网络实现对单个字符的识别-Single character recognition using neural network
Single character recognition using neural network Platform: |
Size: 13315072 |
Author:谢千里 |
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Description: 利用神经网络做的，数字字符识别，包括图片，很好用-By using neural network, digital character recognition, including pictures, very friendly
Platform: |
Size: 3795968 |
Author:汪清芳 |
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Search - Character recognition using Neural Network