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Description: 基于神经网络的OCR识别程序，采用C#开发-based on neural network OCR identification procedures using C#
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Size: 29696 |
Author: pencat |
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Description: 一种图像自动识别算法，该方法：通过提取图像7个不变矩，结合神经网络(BP)对图像目标进行识别计算．结果表明，
该算法具有很好的识别效果，可以应用于图像小目标的识别．-an automatic image recognition algorithm, the method : extract images through seven unchanged moments, integrated Neural Network (ANN) to the identification of target images calculated. Results show that the algorithm has good recognition results can be applied to image small identify the target.
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Size: 138240 |
Author: 陈文清 |
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Description: 利用神经元网络方法进行文字识别的算法，希望对大家有用-use neural network methods of character recognition algorithm, it may be useful to hope
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Size: 196608 |
Author: syh |
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Description: This code recognizes typed latin optical characters and outputs the corresponding Unicode value and character. It is implemented using Artificial Neural Network methods and can be trained for any available font type.-This code recognizes typed latin optical c haracters and outputs the corresponding Unico de value and character. It is implemented using Artificial Neural Network methods and can be tr ained for any available font type.
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Size: 1299456 |
Author: Toby |
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Description: 一种数字识别之神经网络法，供参考学习之用。-identification of a number of neural network for information learning.
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Size: 48128 |
Author: lanbo |
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Description: 将BP神经网络应用于汽车车牌的自动识别，提出了一种简单实用的方法，具有很好的应用价值-BP neural network will be used in automatic recognition of car license plate, a simple and practical method has good application value
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Size: 1147904 |
Author: 孙尧 |
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Description: bp, backpropagation 神经网络 简单认字 错误开发实例。-bp, backpropagation neural network to develop a simple example of character recognition errors.
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Size: 79872 |
Author: ky lee |
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Description: 针对车牌识别的字符bp神经网络训练，稍加改造即可用于ocr及其它字符识别场合
将字符切分为32*16大小bmp，放入相应文件夹，训练时选择该文件夹即可完成相应字符训练
仅供学习使用，勿商业应用，本人保留所有版权。-License Plate Recognition characters for bp neural network training, a little transformation can be used for character recognition ocr and other occasions will be the character segmentation is divided into 32* 16 size bmp, Add the appropriate folder, and training select the folder corresponding to complete Character training for learning to use, not commercial applications, I All rights reserved.
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Size: 1101824 |
Author: 杨在 |
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Description: 给出了基于神经网络的手写体数字的识别程序，并对BP神经网络进行了一些改进-Are given based on neural network Handwritten digit identification procedures, and BP neural networks have been some improvements
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Size: 756736 |
Author: 鹿玉红 |
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Description: 关于BP神经网络de原理和应用的一些文章 -some articles about BP neural network principle and application
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Size: 3855360 |
Author: belle |
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Description: C#使用神经网络实现光学字符识别(OCR)源代码-Csharp use the neural network optical character recognition (OCR) the source code
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Size: 159744 |
Author: 易湘陵 |
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Description: 针对数字图象识别在国防应用领域中的技术进行相关论述，同时将以上项目中的DEMO分享出来，本项目使用了图象灰度处理、二值化HSB处理、锐化处理、去噪处理、滤波处理、OCR识别、切割及体征对比识别、BP神经识别等相关图象技术一起，希望可以提供相关人员使用。-Image recognition for digital applications in the field of national defense technology related discussion item at the same time, more than to share out the DEMO, the project used the gray-scale image processing, HSB binarization processing, sharpening, noise handling, filter processing, OCR recognition, cutting and contrast identification signs, BP neural image recognition and related technologies with the hope of providing relevant officers.
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Size: 916480 |
Author: tony |
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Description: 本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recognition Neural Network. The
algorithm was tested with 2820 natural scene gray level vehicle
images of different backgrounds and ambient illumination.
The camera focused on the plate, while the angle of view and
the distance from the vehicle varied according to the
experimental setup. The license plates properly segmented
were 2719 over 2820 input images (96.4 ). The Optical
Character Recognition (OCR) system is a two layer
Probabilistic Neural Network with topology 108-180-36, whose
performance reached 97.4 . The PNN was trained to identify
multi-font alphanumeric characters from car license plates
based on data obtained from algorithmic image processing.
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Size: 831488 |
Author: keithe |
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Description: DigitalEyes is an OCR (Optical Character Recognizer) developed in C/Caml.
usage : ./digitaleyes[.opt] [processes in chronological order] file
-noise Reduces image noise.
-rotate Finds angle and rotate image.
-lessons Builds the lessons library.
-clessons Remove the lessons library.
-learn Takes the image and give it to the neural network which compares its output and output wanted and apply backpropagation gradient descent algorithm.
-learnall Takes all the files in learning/ directory and gives them to the neural network.
-block Detects blocks.
-init Reinitializes the Neural Network.
-o Saves current file.
-html Outputs HTML.
-nogui Do not show GTK2+ interface.
-with-threads Show GTK2+ interface with threads (default).
-no-threads Show GTK2+ interface without threads.
-help Display this list of options
--help Display this list of options
-DigitalEyes is an OCR (Optical Character Recognizer) developed in C/Caml.
usage : ./digitaleyes[.opt] [processes in chronological order] file
-noise Reduces image noise.
-rotate Finds angle and rotate image.
-lessons Builds the lessons library.
-clessons Remove the lessons library.
-learn Takes the image and give it to the neural network which compares its output and output wanted and apply backpropagation gradient descent algorithm.
-learnall Takes all the files in learning/ directory and gives them to the neural network.
-block Detects blocks.
-init Reinitializes the Neural Network.
-o Saves current file.
-html Outputs HTML.
-nogui Do not show GTK2+ interface.
-with-threads Show GTK2+ interface with threads (default).
-no-threads Show GTK2+ interface without threads.
-help Display this list of options
--help Display this list of options
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Size: 381952 |
Author: chen |
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Description: OCR system with neural network
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Size: 60416 |
Author: dleon |
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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: 文章和附件代码教你如何使用人工智能的神经网络开发一个简单的光学字符识别(OCR)应用程序，程序可以获得非常高质量的识别率和性能。-Creating Optical Character Recognition (OCR) applications using Neural Networks How the use of neural network can simplify coding of OCR applications.
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Size: 60416 |
Author: ldf |
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Description: Neural trainning in java to OCR application
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Size: 17408 |
Author: Sandro Mendes |
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Description: 利用VC++实现的，基于神经网络的文字识别系统，包括矩阵类库源代码和数字识别系统源代码。-Using VC++ to achieve, based on neural network character recognition system, including the matrix class library source code and digital identification system source code.
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Size: 210944 |
Author: hai |
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Description: 基于神经网络的中文字简单符识别-Based on a simple neural network character recognition in text
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Size: 87040 |
Author: Mr.xu |
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