搜索资源列表
P0805
- 字符的分割与识别在matlab环境下实现-character segmentation and recognition of the environment under Matlab
lpcs1
- 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网络。
qicheshibie
- 这是本人的课设的代码和照片，汽车牌照的识别，采用到二值变换，图像字符分割，及模式识别中的数字识别方法。基于MATLAB平台来操作的
OCR
- 基于MATLAB的简易OCR程序，字符、数字、汉字的识别都可以参考此程序
matlab_YWChen
- 用MATLAB实现的英文字符的OCR识别程序-MATLAB English characters OCR identification procedures
recognition-of-the-car-plate
- 实现车牌的定位与识别，采用先字符分割再识别，matlab实现算法。-Realization of the car plate location and recognition, the character segment before recognition
indentify_english_word
- matlab 识别英文字母 用神经网络训练 可以识别大图片，小图片，正规的字符-matlab recognition letters can be identified by neural network training, the big picture, small picture, the formal character
CasicBP
- 用Matlab做的神经网络的BP算法做识别字符，该程序比较容易读-Done with Matlab neural network BP algorithm to do character recognition, the program easier to read
license-plate-recognition
- 车牌识别在matlab环境下的实现，利用canny边缘检测、字符分割、SVM字符识别从而进行车牌检测-Matlab license plate recognition achieved in the environment, use canny edge detection, character segmentation, SVM license plate character recognition thus detected
TGF
- 在 Windows 环境中用MATLAB实现LMS学习算法，解决T-G-F字符识别问题。-Windows environment using the MATLAB realize LMS learning algorithm to solve the problem of TGF character recognition.
1
- 实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 -Experiment 1: Based on LMS Algorithm Apple- Orange classificati
mathcthealphabet
- 一种字符识别算法的matlab实现，带有样本。识别精度较高。-a algorithm of match the alphabet
License-_plate-_recognition
- 使用matlab编写的车牌识别程序，主要包括图像采集、车牌定位、字符分割和字符识别。-Prepared using matlab license plate identification procedures, including image acquisition, license plate location, character segmentation and character recognition.
zhengquechepaishibie
- 基于matlab车牌识别系统，图像预处理，车牌定位，字符识别-matlab license plate recognition systems, image preprocessing, license plate location, character recognition based on
06810562Matlabcar
- 基于matlab的车牌字符识别程序，车牌字符识别，OCR，VPL识别-Based on the license plate character recognition procedures, license plate character recognition, OCR, VPL recognition
License-plate-recognition
- 基于MATLAB的车牌识别，主要包括车牌定位、字符分割和字符识别三个核心模块。从预处理、边缘检测、车牌定位、字符分割、字符识别五个方面实现车牌识别-License plate recognition based on MATLAB, including license plate localization, character segmentation and character recognition three core modules. From the pretreatment, edg
车牌识别系统MATLAB源代码完整
- clc; clear all; close all; [filename, pathname, filterindex] = uigetfile({'*.jpg;*.tif;*.png;*.gif','All Image Files';... '*.*','All Files' }, '选择待处理图像', ... 'images\01.jpg'); file = fullfile(pathname, filename);%文件路径和文件名创建合成完整文件名 id = Get_
StrDetect01
- Matlab代码文字识别：包括图像分割,粘连字符切分,文字识别(Matlab code character recognition: including image segmentation, adhesion character segmentation, character recognition.)
Lenet5
- 利用lenet5，进行数字和字母的识别，网络已训练好可直接使用。 附带中文字符样本(Using lenet5 to recognize numbers and letters, the network has been trained and can be used directly. Incidental Chinese character sample)
手写MNISTmatlab实现
- 资料可以直接运行，是matlab源码，实现了AI领域常见的手写字符MNIST数据集的识别，一般都是python做，matlab实现的很少，就算有也经常报错，因此这里是提供了例程以及数据集！数据集也是matlab能直接读取的MNIST格式！下载这个资料连数据集都不用单独下载了，节省时间。(The data can be run directly. It is the source code of MATLAB. It realizes the recognition of MNIST data s