搜索资源列表
License-plate-location-recognition
- 本案例基于MATLAB的GUI工具进行设计仿真实验：通过对采集的车牌图像进行灰度变换、边缘检测、腐蚀及平滑等过程来进行车牌图像预处理，并由此得到一种基于车牌颜色纹理特征的车牌定位方法，实现车牌区域定位，最后实现车牌字符的分割与识别。-In this case based on MATLAB GUI design simulation tool: through the license plate image capture through gradation conversion, edge d
PlateIdentify
- 车牌识别，主要通过对车拍照片进行二值化、灰度处理、车牌定位、字符分割、字符识别-License plate recognition, primarily through the car pictures binarized gradation processing, license plate location, character segmentation, character recognition
opencv
- 基于vc和opencv的车牌识别,实现车牌自动跟踪，检测，并拍照，定位，识别-Based on VC and opencv license plate recognition, automatic license plate tracking, detection, and take pictures, positioning, recognition
traffic-sign-detection
- 使用matlab对交通标志进行定位，以及识别，简单易懂-The use of MATLAB on traffic signs for positioning, as well as identification, easy to understand
matlab-Tcharacterrech
- 车牌定位和识别，完整可用的matlab车牌识别程序，采用比较简单的模块法实现- 30/5000 Wánzhěng kěyòng de matlab chēpái shìbié chéngxù, cǎiyòng bǐjiào jiǎndān de mókuài fǎ shíxiàn Full use of the matlab license plate recognition program, using a relatively simple module method to ac
Elite-E-Professional-V2.2
- 用于车型定位识别所用的加密狗文件，非常实用-Dongle for vehicle location identification file used, very practical
MFC
- 图像处理项目，实现对苹果的识别和定位功能，采用二值化和均衡化等处理方法。-Image processing project, the realization of Apple s recognition and positioning function
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
3785256
- 我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步-I write the car license plate based on color components of location identification, basically has the following steps
chepaishbiexitong
- 车牌识别系统的代码，包括车牌预处理，定位，分割，识别，GUI的设计- U8F6 u724C u8BC6 u522B u7CFB u7EDF u7684 u4EE3 u7801
LXWUQIU
- 我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步(I write the car license plate based on color components of location identification, basically has the following steps)
asmlib-opencv-master
- opencv+asm 人脸识别，人脸特征点定位(Facial features extraction opencv+asm)
LicenseplateRecognition
- 车牌牌照检测识别完整源代码 开发环境：vc6.0和opencv1.0 整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。 实现功能： 能实现视频中物体跟踪，但必须是手动圈住才行，摄像头是usb摄像头. 打开车牌图片，能进行定位，车牌分割，字符分割，字符识别。(License plate recognition)
OpenCV_3_License_Plate_Recognition_Python
- 这是一个基于python和opencvd的车牌定位和识别的代码(This is a license plate location and recognition based on Python and opencvd code)
人脸检测
- 面像识别的人脸定位检测和训练后，需要进行人脸检测的代码(Face detection code after face detection and training for face recognition)
initial_shape
- 面像识别训练时用到数据库，进行人脸定位初始化图像(The database is used in the face recognition training, and the face location initializes the image)
clip_english_words
- 输入一张有英文单词的图片，完成对英文单词的定位、分割。分割出单词字母，一遍下一步识别时应用(Enter a picture with English words to complete the location and segmentation of English words. Divide the words and letters, and apply the next step.)
1
- 基于matlab的车牌识别，预处理。定位。识别.qiege(License plate recognition system based on MATLAB)
121701210941697
- 车牌预处理，车牌区域定位、车牌字符切割字符识别(License plate preprocessing, license plate location, license plate cutting recognition)
opencv_car_location-master
- 可以识别出图片中的车牌号码,并定位到车牌号码的牌子的方框(opencv_car_location-master)