搜索资源列表
tdplatform
- 视频侦查 目标搜索 以图搜图 视频检索 视频浓缩 视频摘要 图像检测 图像识别 神经网络 目标检测 目标识别 缺陷检测 外观识别 车型识别 车牌识别-Video scout, target search, search images relying on images, video retri , video concentrate, video abstract, image detection, image recognition, neural network, target detect
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子
zifushibie
- 基于神经网络的字符识别。利用神经网络算法在c语言下实现车牌字符的智能识别。-Character recognition based on neural network. Using neural network algorithm to realize the intelligent recognition of license plate characters in C language.
Lenet5_EasyPR_D
- 基于网上的matlab版lenet5,改成识别车牌字符，仅仅识别英文字符和数字。收集图片功能，训练，识别功能。-Based on the online version of matlab lenet5, changed license plate character recognition, identifies only English characters and numbers. Collection picture function, training and recognition.
bp-for-license-recognition
- 利用BP神经网络算法进行车牌图像识别的代码，进行数字、车牌字符的识别，另附相应学习图片素材（二值化）及训练后网络-Using BP neural network algorithm for vehicle license plate image recognition code, the number of characters, license plate recognition, with the corresponding learning picture material and tra
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
palate_recognition
- 对于车牌识别方面的问题进行了自己的分析以及车牌角度矫正等细节问题进行了优化以及修正-For the license plate recognition aspects of the problem of their own analysis and license plate angle correction and other details of the problem was optimized and amended
1635
- 实现典型相关分析，实现六自由度运动学逆解算法，车牌识别定位程序的部分功能。- Achieve canonical correlation analysis, Six degrees of freedom to achieve inverse kinematics algorithm, Part of the license plate recognition locator feature.
xe802
- 计算多重分形非趋势波动分析matlab程序,用MATLAB编写的遗传算法路径规划，车牌识别定位程序的部分功能。- Calculation multifractal detrended fluctuation analysis matlab program, Genetic algorithms using MATLAB path planning, Part of the license plate recognition locator feature.
it035
- 车牌识别定位程序的部分功能，外文资料里面的源代码，matlab实现了五类灰色关联度模型的计算。- Part of the license plate recognition locator feature, Foreign materials inside the source code, matlab implements five gray correlation degree computing model.
hr381
- 车牌识别定位程序的部分功能，可以得到很精确的幅值、频率、相位估计，基于混沌的模拟退火算法。- Part of the license plate recognition locator feature, You can get a very accurate amplitude, frequency, phase estimation, Chaos-based simulated annealing algorithm.
jeikang-V1.0
- 包含收发两个客户端的链路级通信程序,采用的是脉冲对消法，车牌识别定位程序的部分功能。- Contains two clients receive link-level communications program, It uses a pulse of consumer law, Part of the license plate recognition locator feature.
7650
- 车牌识别定位程序的部分功能，调试通过可以使用，分数阶傅里叶变换计算方面。- Part of the license plate recognition locator feature, Debugging can be used, Fractional Fourier transform computing.
20170503
- 简易的车牌识别,车牌识别功能，识别率60 左右-neural network license plate recognition
va111
- 构成不同频率的调制信号，车牌识别定位程序的部分功能，用MATLAB编写的遗传算法路径规划。- Constituting the modulated signals of different frequencies, Part of the license plate recognition locator feature, Genetic algorithms using MATLAB path planning.
ty634
- 对于初学者具有参考意义，车牌识别定位程序的部分功能，在matlab R2009b调试通过。- For beginners with a reference value, Part of the license plate recognition locator feature, In matlab R2009b debugging through.
fbebh
- 车牌识别定位程序的部分功能，最小均方误差（MMSE）的算法，AHP层次分析法计算判断矩阵的最大特征值。- Part of the license plate recognition locator feature, Minimum mean square error (MMSE) algorithm, Calculate the maximum eigenvalue judgment matrix of AHP.
pv852
- 车牌识别定位程序的部分功能，使用混沌与分形分析的例程，插值与拟合的matlab实现。- Part of the license plate recognition locator feature, Use Chaos and fractal analysis routines, Interpolation and fitting matlab implementation.
cascadeCNN_license_plate_detection-master
- 很好的一个车牌检测程序,检测率很高，快速卷积神经网络SoftwareMatlab R2016b Matlab R2016b(plate lisence detectionMatlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset : http:/
opencvCar
- 对车牌进行图像处理，包括字符分割处理，字符识别处理(License plate for image processing, including character segmentation, character recognition processing)