资源列表
EXPERIMENTS_IN_IMAGE_SEGMENTATION_FOR_AUTOMATIC_US
- 美国车牌的自动识别的图像分割的实验，Virginia Polytechnic Institute and State University的英语毕业论文，写的较好。-EXPERIMENTS IN IMAGE SEGMENTATION FOR AUTOMATIC US LICENSE PLATE RECOGNITION
Image
- 一篇很优秀的关于图像边缘检测和特征提取算法的博士论文，文中介绍了不少有益的算法。-On a very good edge detection and feature extraction algorithm doctoral dissertation, In this paper, many useful algorithms.
palt2
- 车牌定位系统,根据车牌照片的特性进行定位-Plate positioning system, according to the characteristics of plate positioning photos
read_letter
- this a code in matlab for character recognition depending on correlation -this is a code in matlab for character recognition depending on correlation
12548795545
- 机器人双目视觉目标跟踪研究，研究其机器人双目视觉-Binocular vision robot target tracking study of its binocular vision robot
readimage
- this a program for detecting the license plate in the picture depending on the horizontal and vertical projection -this is a program for detecting the license plate in the picture depending on the horizontal and vertical projection
exparement
- this a program for detecting the license plate from the image and divide it into defferent images each one contain one character-this is a program for detecting the license plate from the image and divide it into defferent images each one contain one
setup
- 一个简单，好用的手写数字识别软件，安装后即可使用。-A simple, digital-to-use handwriting recognition software, can be used after installation.
2201661974520079181725541578112
- 基于图像处理的运动目标检测跟踪系统的设计与实现的论文，是一篇博士论文，在研究有关目标跟踪与检测的时候，有很多可借鉴之处。-Based on image processing to track the moving target detection system design and implementation of the papers, is a doctoral thesis research on the target tracking and detection of the time
textonboost
- 微软的数字图像处理说明文件。包括图像分割，边缘检测，图像识别。英文版。-Microsoft s Digital Image Processing documentation. Including image segmentation, edge detection, image recognition. English.
Based
- 基于神经网络的文字识别系统，利用MFC做成的，代码很典型-Based on neural network character recognition systems, made use of MFC, the code is typical
Paper
- 手写体数字的识别似是图像识别科学下的一个分支，它的研究目的是:利用计算机智能的识别书写在纸张上的数字。 随着金融市场化进程的日益加快，票据业务不断发展，票据数量与日俱增。手写体数字识别在这个领域应用非常广泛，例如个人凭证，支票，发票，进账单等需要处理大量字符信息录入的票据，在很大程度上要依赖数据信息的输入。长期以来，票据管理工作因管理手段落后，各类票据的打印、整理、装订和归档需要花费大量的人力和物力，同时各类票据凭证的事后监督与归档的分离也浪费了大量时间和精力。 -Handwiten d