搜索资源列表
Chepai_Orc.rar
- 本人原创的车牌字符识别，主要演示了字符切割，归一化。识别网络...简单的训练了几个库对字母和数字识别率都还不错，另外容错率相对也较好。本源码为E语言环境...,My original license plate character recognition, the main characters demonstrate cutting, normalized. Identification of network ... a simple database for training a numbe
chepai
- 车牌识别系统 包括字符分割和识别两部分 识别精度很高-License Plate Recognition system includes character segmentation and identification of two parts, a high identification accuracy
Recognition
- 汽车牌照智能识别C++源程序代码，包括字符分割，图像预处理，字符识别。-vehicle license Intelligent Recognition
1
- OCR字符识别源代码 欢迎大家下载使用-Character Recognition OCR welcomed everyone to download the source code to use
BPnet
- 基于BP神经网络的字符识别，很不错的啊该系统是为了辨认识别图像中的数字而设计的，它通过对图片的一系列处理，最后识别得出图片中显示的数字。-Based on BP neural network character recognition, it is good ah the system is designed to identify the number of images to identify and design, it adopted a series of picture proces
Socket
- 孙鑫的套接字编程,很实用的,大家可以看看 -SUN Xin socket programming, it is practical, we will look at
ac
- 这个c的小程序 是基于AC算法的多模式匹配技术，对字符串搜索一次，就可以找出所有的匹配字和出现位置-The c of the small program is based on the AC algorithm many pattern matching techniques to search a string, you can find all the matching words and the emergence of location
work
- 能够实现车牌的提取，并利用垂直投影完成字符分割-Be able to achieve the extraction plate and take advantage of vertical projection of the completion of character segmentation
License_Plate_Segmentation
- 车牌识别种的字符分割部分，采用的是比较近点的算法-License_Plate_Segmentation include segmentation code
neuroocr
- 基于神经网络的字符识别,很高的识别率,80 .-Based on neural network character recognition, a high recognition rate, 80 .
kmp
- KMP字符串匹配算法C语言实现 精确度高-KMP string matching algorithm C language to achieve high accuracy
2005562118
- 关键词：车牌识别，背景提取，图像分割，特征提取，字符识别。 -Keywords: License Plate Recognition, background extraction, image segmentation, feature extraction, character recognition.
ImagePatternRecognition
- 主要用vc++对图像的模式识别，内容主要有联机字符识别，脱机字符识别，在线签名鉴定，人脸的检测与定位，印章识别-The main use vc++ for image pattern recognition, the content of main-line character recognition, off-line character recognition, on-line signature identification, face detection and location, se