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字符识别
- 本文将BP神经网络应用于汽车车牌的自动识别，在车牌图像进行预处理后的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别。并附有部分识别代码。-BP neural network used in the automatic vehicle identification number plates, images of the license plates after pretreatment on the basis of discussion focused on the BP neural
脱机字符识别
- 脱机字符识别: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,细化算法-Offline Character Recognition : handwritten figures identifiable Fisher Linear Discriminant, handwritten figures identifiable template matching method, digital identification neural network, thinn
BP神经网络 VC++
- BP神经网络实现字符的识别 BP神经网络实现字符的识别
SimpleOCR
- 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
szsb_src
- VC++基于神经网络的数字图片识别技术，并可对图片进行灰度处理、二值化、递推锐化、去离噪声、字符分隔等处理功能，调试时请将在Debug目录中生成的EXE文件拷贝至Release目录里运行，因为那里有测试图片。 -VC++ based on neural network digital image recognition technology, and gray on the picture processing, binarization, recursive sharpening to a
szsb
- VC++基于神经网络的数字图片识别技术，并可对图片进行灰度处理、二值化、递推锐化、去离噪声、字符分隔等处理功能，调试时请将在Debug目录中生成的EXE文件拷贝至Release目录里运行，因为那里有测试图片。-VC++ based on neural network digital image recognition technology, and gray on the picture processing, binarization, recursive sharpening to away
VC
- 字符识别原代码，将BP神经网络应用于汽车车牌的自动识别，在车牌图像进行预处理后的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别。-Character recognition source code, the BP neural network used in automatic recognition of vehicle license plates, license plate image in the basis of pretreatment, focusing on the u
Pplaate-reeadl
- 车牌的定位与分割，和使用BBP神经网络实现字符的识别。 -Positioning and segmentation of license plate character recognition and BBP neural network.
BcchhardivP
- 运用BP神经网络进行字符识别的系统源码码，能进行有效数字字符识别。 可直接使用。 -BP neural network character recognition system source code, and effective digital character recognition. Can be used directly.
oworrddistinnf
- 脱机字符识别算法，包含手写数字识别之Fisher线性判别，手写数数字识别之模板匹配法，数字识别之神经网络法，细化算法 已通过测试。 -Off-line character recognition algorithm, contains handwritten numeral recognition of the Fisher linear discriminant, the template matching method for handwritten numerals recogniti
VCPP
- 二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符-Binarization, gray stretch, license plate location, binarization, skew correction and character segmentation, training the neural network, identifying characters
BP-neural-net-character-recognition
- BP神经网络实现字符的识别，从最开始的车牌定位到最终通过神经网络实现字符的识别。-BP neural network character recognition, license plate positioning from the beginning to the final neural network character recognition.
character-recognition
- 基于C++的字符识别程序 包含fisher判定法 神经网络方法 模版匹配方法 以及细化处理-Character recognition program based C++ contains the fisher determination method neural network template matching method and Refining
hop
- 霍普菲尔得神经网络字符识别matlab 仿真程序-Hopfield neural network character recognition have matlab simulation program
BpNet-Recognize
- 基于神经网络的字符识别，功能强大，识别率高，是学习字符识别不错的资料。-Base on Bpnet， itis very
bp
- c++的bp神经网络字符识别系统可以识别数字字母-c++ bp neural network character recognition system can recognize alphanumeric
神经网络 训练识别
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。(1. First open a picture and then follow the sequence of grayscale, binary, grayscale stretching, license plate positioning, binarization, ti
Lenet
- 卷积神经网络（lenet_5）代码,用于手写字符识别(code of convolutional neural network for handwork characterisic recognation)
dropout_and_minibatch
- 基于两层BP神经网络，加入dropout和softmax，输出层使用softmax，实现对手写字符库MNIST的识别，正确率达90%。(Based on the two level BP neural network, adding dropout and softmax, the output layer uses softmax to realize the recognition of handwritten character library MNIST, the accuracy ra
PR
- 使用qt实现的车牌识别，实现了车牌提取，车牌字符切割以及识别(License plate recognition using QT, license plate extraction, license plate character cutting and identification)