搜索资源列表
车牌识别系统
- 车牌识别系统,其中字符识别用的是神经网络方法-LPR system, character recognition using the neural network method
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.
chepsb
- 用MATLAB实现车牌识别，包括定位、分割和字符识别，识别方法是神经网络-License Plate Recognition Using MATLAB implementation, including positioning, segmentation and character recognition, neural network identification method is
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.
imagerec
- 车牌定位与识别系统,对图像处理和模式识别毕业设计有参考价值，VC实现图像预处理，特征提取，以及神经网络识别。-License plate location and recognition system for image processing and pattern recognition graduated design reference value, VC achieve image preprocessing, feature extraction, and neural network
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
lpcseg
- 用matlab做的车牌识别的完整源代码,包括车牌定位,二值化,滤波去噪,字符分割,识别,识别部分用的BP网-Matlab do with License Plate Recognition complete source code, including the license plate location, binarization, filtering noise, character segmentation, identification, identification of parts
PlateReco
- 这是一个基于神经网络的车牌定位与识别系统！包括车牌的定位，二值话，分割，识别等等。-This is a neural network-based license plate location and recognition system! Including the license plate of the positioning of two values, the segmentation, identification and so on.
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
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
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
MedicalImage
- 基于神经网络的文字识别系统是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统-Based on neural network character recognition system
shenjingwangluo
- 采用BP神经网络的车牌字符识别方法研究，分析各种方法-ok
BP_Neural_Netwok-Recognition_License_Plate(MATLAB)
- 基于BP神经网络实现车牌的识别，用MATLAB编写的-BP Neural Netwok , Recognition License Plate ，Matlab
programs_and_pictures
- 一个自己编的车牌识别程序，采用BP神经网络实现，效果较好。（图片和程序都在一个文件夹里）-A license plate recognition program to achieve good effect.It is written by myself using BP neural network to achieve it.
LPR-neural-network
- 这是我自己做的一个基于神经网络的车牌识别程序，主要针对的是国内的蓝底车牌，希望对大家有帮助！-This is my own doing a neural network-based license plate recognition program, mainly for the domestic blue license plates, we want to help!
车牌识别(有大的框架和BP神经网络delphi)
- 本程序是基于C++的车牌识别，里面有大的框架和BP神经网络(This program is based on C++ license plate recognition, which has a large frame and BP neural network)
VC++车牌识别源程序
- 基于opencv和vs2013开发的车牌识别程序(License plate recognition program based on OpenCV and vs2013)
基于matlab+模板匹配的车牌识别
- 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 ro