Description: 实现图像的预处理，包括灰度值转换，二值化，梯度锐化，去离散噪声，整体倾斜调整，字符分割，尺寸归一，紧缩重排等功能，经过神经网络训练后可以字符识别。-image preprocessing, including gray-scale conversion value, the value of the gradient sharpening to discrete noise, overall tilt adjustment, character segmentation, to a size and tightening rearrangements, and other functions, the neural network can be trained to identify characters. Platform: |
Size: 69857 |
Author:刘波 |
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Description: 实现图像的预处理，包括灰度值转换，二值化，梯度锐化，去离散噪声，整体倾斜调整，字符分割，尺寸归一，紧缩重排等功能，经过神经网络训练后可以字符识别。-image preprocessing, including gray-scale conversion value, the value of the gradient sharpening to discrete noise, overall tilt adjustment, character segmentation, to a size and tightening rearrangements, and other functions, the neural network can be trained to identify characters. Platform: |
Size: 69632 |
Author:刘波 |
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Description: 本文基于对车牌自动分识别系统中牌照图像预处理、字符分割和字符识别等关键技术的研究。采用改进的BP神经网络模式识别技术，以车牌字符作为识别对象，设计实现了一个自动识别系统。-Based on the automatic license plate recognition system license image preprocessing, character segmentation and character recognition key technological research and development. Improved BP neural network pattern recognition technology to identify the object as a license plate characters, designed and implemented an automatic identification system. Platform: |
Size: 581632 |
Author:王萍 |
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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. Platform: |
Size: 1101824 |
Author:杨在 |
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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. Platform: |
Size: 831488 |
Author:keithe |
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Description: 车牌识别 opencv
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。-License plate recognition opencv
The first open a picture and then follow the order of grayscale, binary, gray stretch, license plate location, binarization, skew correction, character segmentation, training the neural network to identify characters.
Two test images are stored in the current directory img.
(3) the test set and training set, the target volume storage under the img text file. Platform: |
Size: 1050624 |
Author:姜宇 |
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Description: 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。-First open a picture in order graying, binarization, gray stretch, license plate location, binarization, skew correction and character segmentation, training the neural network to identify the characters. 2 the img the next test image is stored in the current directory. 3 test set and the training set, the target to the volume storage under the img text file. Platform: |
Size: 20352000 |
Author:sunlu |
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Description: 车牌字符识别C++程序
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。-C++ program license plate character recognition
1. Open a picture first and then follow the order of graying, binarization, gray stretch, license plate location, binarization, skew correction, character segmentation, training the neural network to identify characters.
In the current directory img 2. test image storage.
3. The test set, the training set, the text file to the target volume is stored in the img. Platform: |
Size: 19548160 |
Author:feng |
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Description: 基于BP神经网络的车牌识别系统，可以自动分割出车牌，分割车牌字符和数字，可以识别字符引文和数字，还有一个我结课的一个小论文。运行run.m即可-BP neural network-based license plate recognition system that can automatically segment the license plate, license plate characters segmentation and numbers, you can identify the character citations and figures, there is a lesson I have a small knot papers. Platform: |
Size: 3682304 |
Author:amoryou |
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Description: 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, tilt correction, character segmentation, training neural network, recognition characters.
2. The test image is stored under the current directory img.
3. The test set, training set and target vector are stored in the text file under img.) Platform: |
Size: 1049600 |
Author:小腾腾腾腾
|
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Description: 车牌识别系统（License Plate Recognition System，LPRS）在许多应用程序中
扮演一个重要的角色，如停车场系统、道路监控、高速公路收费系统、电子警察系
统。在我国，车牌种类较多，并有数字、字母和汉字，与别的国家的车牌相比较为
复杂。课题中提出了基于人工神经网络（ANN）的车牌自动识别系统。车牌识别
系统包括三个主要组件：车牌定位、字符分割和字符识别。(License plate recognition system plays an important role in many applications, such
as parking system, road monitoring, highway toll collection system, electronic police
system. In our country, there are many kinds of license plate, and it has numbers, letters and Chinese characters. In this paper, an automatic license plate recognition system based on artificial neural network is proposed. The license plate recognition system consists of three main components: license plate location, character segmentation and character recognition.) Platform: |
Size: 11207680 |
Author:孤鸿浪子 |
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Search - characters segmentation neural network