搜索资源列表
Matlab_image_segmentation.rar
- 在matlab中完成染色体识别与统计,汽车牌照定位与字符识别两个图像处理方面的应用,步骤清晰,解释详尽,值得学习!,Matlab completed in chromosome identification and statistics, motor vehicle license character recognition and positioning of two image processing applications, these clear, detailed explanatio
chepaishibie.rar
- 实现车牌的定位,字符分割、及识别,是一个比较完整的程序,To achieve the positioning plate, character segmentation and recognition, is a more complete program
Matlab_Image_Processing
- 林健写的Matlab在图像处理与目标识别方面的应用实验,包括染色体识别与统计、汽车牌照定位与字符识别、基于BP神经网络识别字符的简单实验。-Lam Kin Writing at the Matlab image processing and target recognition application experiments, including chromosome identification and statistics, vehicle license positioning and c
Untitled
- 有效的实现车牌定位,车牌字符分割和车牌字符识别。-To achieve effective positioning plate, the vehicle registration license plate character segmentation and character recognition.
chepaishib
- 文章从车牌定位、 车牌字符分割和车牌字符识别 3个阶段对车牌识别技术进行了深入研究,并用MATLAB进行了仿真。 -Article from the license plate location, vehicle license plate character segmentation and character recognition of the three stages of License Plate Recognition technology for in-depth studies
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
SkewDetectionAndCorrectionMethod
- 文本图像在扫描输入时产生的倾斜现象会对后续的页面分割及光学字符识别(OCR)处理产生很大的影响,而传统的标准Hough变换虽然具有对噪声不敏感,不依赖于直线连续性的优点,但由于计算量偏大,速度慢,在实用时有较大的局限性.提出一种基于改进的Hough变换的文本图像倾斜校正方法,通过在变分辨率图像中采用不同的文本方向提取算法,及选择合理投票门限等改进Hough变换的措施,减小了由图像区域及文字笔画粗细所产生的对倾角判定的不利影响,并使用基于偏移值的方法实现页面倾斜的快速校正.实验结果表明,该算法实现
chapter4
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》4 特征提取,图像识别初步,人工神经网络,基于ANN的数字字符识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" four feature extraction, image recognition initially, artificial neural network, ANN base
chepaishibie
- 一个车牌识别的小程序,有图有程序有说明,其中字符识别部分用的是模板匹配的办法。-A small license plate recognition program, there is a procedure chart shows, some of which use character recognition approach is template matching.
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
matlab-chepaishibie
- 车牌识别系统 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 system to achieve recognition, including positioning, segmentation and character recognition, neural network identification method is
chepaidingweiyuzifugenge
- 车牌定位与字符分割、字符识别matlab程序-License plate location and character segmentation, character recognition matlab program
文字识别:包括图像分割,粘连字符切分,文字识别
- 文字识别:包括图像分割,粘连字符切分,文字识别(Image recognition: including image segmentation, character recognition)
车牌识别GUI.zip等多个文件
- matlab 车牌识别,含有gui界面,边缘检测车牌定位,神经网络字符识别(Matlab license plate recognition, including GUI interface, edge detection, license plate location, neural network, character recognition)
识别定位程序挺不错的实现功能简单
- 分割字符,在网上找到的认为比较好用的字符分割(Split characterFound on the Internet, think it's easier to use the character segmentation)
matlab
- 索书号文字图像分割,粘连字符切分,彩色车牌分割 ,文字识别的结构特征提取子函数(Call text image segmentation, character segmentation, color plate segmentation, text recognition feature extraction Functions)
车牌识别
- 可实现MATLAB环境下的车牌识别系统源程序,运用模板匹配法进行字符识别。(The source program of license plate recognition system under MATLAB environment can be realized, and the character recognition can be carried out by template matching method.)
first
- 车牌定位 车牌分割 字符识别 正如上面所讲,车牌识别主要分为3个部分,其中第一部分车牌定位,一般采用颜色定位,特征定位等,这方面一堆资料我就不写了.分割一般采用投影法.识别的话方法就比较多了,有模板匹配,bp神经网络,卷积神经网络等.(pan.baidu.com/s/1jIdSuXK)
matlab中文字符的识别代码
- 基于BP人工神经网络的数字字符识别及MATLAB实现。(Digital character recognition and MATLAB implementation based on BP artificial neural network.)