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JAVA ANPR 神经网络车牌识别系统
- JAVA ANPR 神经网络车牌识别系统
LPRecognizer.rar
- 车牌识别，神经网络，识别率高达95％，定位准确。,License plate recognition, neural networks, recognition rate as high as 95 percent, positioning accuracy.
PlateRecognizer
- 车牌识别，神经网络算法，识别率高达95％，识别时间低于80ms。-License plate recognition, neural network algorithm, the recognition rate as high as 95 percent, to identify less than 80ms.
BP_Net_work_for_character_recongnize
- 利用BP神经网络进行数字和字母识别，对于研究车牌识别的朋友具有重要的参考意义-Using BP neural network to identify numbers and letters, the study of License Plate Recognition friends the meaning of an important reference
shenjinwangluo
- 关于车牌字符识别的神经网络算法,才用的是三层神经网络-shengjinwangluosuanfa in car recognise
jiyushenjingwangluodechepaishibiejishuyanjiu
- pdf文档，非源码。基于神经网络的车牌识别技术研究，西安电子科大的优秀硕士论文，中国知网下载，内容很详实，全面。-pdf documents, non-source code. Based on Neural Networks License Plate Recognition Technology, Xi' an电子科大outstanding master' s thesis, Chinese HowNet download, which is very detailed and
car
- 运用MATLAB软件编程仿真，充分运用数字图像处理技术，运用边缘检测，神经网络识别等来实现汽车牌照的提取。-use MATLAB ,gain the number of car
shibie
- 基于bp神经网络的车牌识别系统 神经网络部分训练有待提高-The design of intelligent transportation systems for applications such as electronic toll,traffic flow analysis,speed Limit and red light violation enforcement has been attracted an increasing attention from researchers.I
shibie
- 基于bp神经网络的车牌字符识别源程序，采用字符比对的方式进行切割-The structures of the neural networks were designed using a constructive algorithm where the basic idea was to start with a small network,then add hidden units and weights incrementally until a satisfactory solution b
car_position
- 基于matlab的车牌定位、字符分割和字符识别-car population in matlab
PNN
- 概率神经网络算法的matlab实验程序 可用于车牌识别 文字识别等模式识别问题-Probabilistic neural network algorithm matlab experimental procedure can be used for license plate recognition to identify issues such as character recognition
ART_shengjingwangluoshibiechepaizifu
- 名校名篇，详细描述了ART神经网络在车牌字符识别中的运用，具有极高的工程实践指导作用。-Elite famous article, a detailed descr iption of ART neural network in the use of license plate character recognition, with a high engineering practice guide.
chepaishibie
- 神经网络来识别车牌，效果很好，通过验收的，绝对可以运行出结果-Neural network to identify the license plate, a good effect, through the acceptance, and absolutely you can run out of the results of
bp_train
- 用改进的神经bp网络可以用来做字符识别 车牌识别 以及通常的分类 我强力推荐-Bp using the improved neural network can be used to do character recognition license plate recognition, as well as the usual categories I strongly recommend
200808022
- 车牌字符的神经网络识别方法。根据神经网络来对车牌进行字符识别-License plate character recognition neural network. Neural network based on the license plate character recognition
LicensePlateCharacterRecognitionWholeProcedure
- 一个关于车牌识别的完整程序，字符识别部分用的是神经网络的相关知识-A complete program of license plate recognition, character recognition part of the neural network with the knowledge
CarPlateRecognition
- 利用神经网络进行车牌识别，图像先进行二值化，通过多次学习从而建立满足一定要求的识别网络。-License Plate Recognition using neural networks, the binary image before, through multiple learning to recognize the establishment of the network meet certain requirements.
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
车牌字符识别
- 使用MATLAB语言实现简单的字符识别，使用神经网络算法，有效的识别车牌(Simple Character Recognition Using MATLAB Language)
基于BP神经外网络的车牌识别
- 基于MATLAB的车牌识别系统，识别准确率高，运行速度快，可供参考学习(License plate recognition system based on MATLAB)