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chepaishibiechengxu
- 基于模板匹配和特征点匹配相结合的快速车牌识别方法程序-based on template matching and the matching feature points combination of rapid methods and procedures LPR
利用模式识别中的模板匹配算法
- 数字识别,利用模式识别中的模板匹配算法,主要实现的是车牌的数字和汉字识别-Number recognition, pattern recognition in the template matching algorithm, the main achievement is the license plate number and character recognition
Untitled7
- 车牌识别系统 车牌定位 分割 和识别 识别是模板匹配的方法matlab-Matlab license plate recognition system
mubanpipei
- 车牌识别,使用模板匹配的方法对静止的车牌进行识别-License plate recognition, using a template matching methods still license plate recognition
ex2
- 汽车牌照定位与字符识别 要定位汽车牌照并识别其中的字符,我们采用Matlab平台提供的一些图像处理函数,以傅立叶变换通过字符模板与待处理的图像匹配为核心思想。 -Vehicle license location to location and character recognition vehicle license and identify the characters, we use Matlab platform provides a number of image processing
4
- 基于模板匹配的车牌字符识别算法研究,使用模板匹配,来实现车牌的字符识别。-Based on template matching license plate character recognition algorithm using template matching, to achieve the license plate character recognition.
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.
chepaishibie
- 学数字图像处理课程做的一个大作业,车牌识别的,用matlab编程实现,并采用了自适应阈值法,最后用模板匹配的方法实现了车牌的自动识别功能-Learn digital image processing program to do a great job, license plate recognition with matlab programming, using the adaptive threshold method, and finally with the template match
chepaishibie
- 使用MATLAB对车牌进行识别,并在GUI界面上进行显示,字符识别采用的是模板匹配法,附有待识别车牌和字符模板库(License plate recognition using MATLAB, and displayed on the GUI interface, character recognition using the template matching method With the number plate and character template library to be r
车牌识别1
- 通过MATLAB实现车牌的识别。通过预处理,图像增强,压缩,锐化,模板匹配等实现车牌识别(MATLAB chepaishibie)
程序与图像
- 汽车车牌的识别,运用模板匹的方法,对图像进行分割识别(vehicle license plate recognition)
func
- 自写的基于模板匹配的车牌识别系统,附有字符模板和测试车牌图片。((A system of License Plate Recognition.It has character template and text picture.))
无语音读取简化版本
- matlab实现基于模板的车牌识别.主要模块如下:颜色信息提取、车牌区域定位、识别、提取、检测倾斜度、车牌校正、车牌区域2值化、擦除干扰区域、文字分割、模版匹配、结果输出。(Matlab based template based license plate recognition.The main modules are as follows: color information extraction, license plate location, recognition, extractio
my_scanner-master
- 识别文字,字符识别字符的识别目前用于车牌字符识别(OCR)中的算法主要有基于模板匹配的OCR算法以及基于人工神经网络的OCR算法.(Character recognition is currently used in license plate character recognition (OCR). There are mainly OCR algorithms based on template matching and OCR algorithm based on artificial n
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.)
车牌识别系统
- 利用opencv进行车牌识别,包含识别样本(Using OpenCV for license plate recognition, including identification samples)
新建文件夹
- 建立一个模板图片库,将车牌的图片上的每个字符与库中的图片使用模板匹配法进行识别(A template library is built to identify each character in the license plate picture and the pictures in the library by template matching method)
cpsb1
- 对输入车牌图像进行车牌识别,通过模板匹配进行识别。(License Plate Recognition)
标准库
- 用于车牌字符识别系统中的模板匹配识别法,模板库的简历,含数字字母和汉字(Template matching recognition method for license plate character recognition)
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