搜索资源列表
digital-recognition
- 基于bp神经网络实现图像的数字检测提取和识别-bp neural network digital detection extraction and recognition
CharRec
- 字符识别的源码，可识别数字和英文。包括图像处理和模式识别的内容。图像处理包含转灰度图、二值化、滤波、细化、分割、规格化等。模识别部分包含欧式距离的模板匹配和BP神经网络。-Character recognition source code, can recognize numbers and English. Including image processing and pattern recognition. Contains to grayscale image processing, bi
FaceDetection
- 图像预处理包括图像平滑、图像分割、二值化、图像形态学处理和轮廓提取。轮廓提取是使用八邻域边界跟踪算法。在手势的特征提取部分，使用边界傅立叶描绘子的手势特征提取算法。针对手势的识别，采用了基于 BP 神经网络的识别方法-Image pre-processing, including image smoothing, image segmentation, binarization, morphological image processing and contour extraction.
Chinese-character-recognition
- 人工神经网络实现汉字识别，采用了BP算法进行了几个简单汉字的识别-Artificial neural network to achieve the Chinese character recognition
numerical-recognition
- 应用BP神经网络对图片进行数字识别，设计GUI界面，操作简单。-BP neural network for digital identification, GUI interface design, simple operation.
Bp_license_character_recog
- 采用bp神经网络的车牌字符识别方法研究。特征提取采用投影-变换系数法。-Bp neural network using license plate character recognition method. Feature extraction using projection- transform coefficient method.
BP_-neural_optimal_license_recog
- 基于BP人工神经网络的车牌字符识别优化算法。-Based on BP artificial neural network optimization algorithm license plate character recognition
Character_recog_neural_improveBP
- 基于神经网络的字符识别技术研究，改进了BP算法-Character recognition based on neural network technology research, improved BP algorithm
document
- 自己编程实现的K_means、BP神经网络对Irisic数据分类、4点交比、单个神经细胞的线性分类’以及LOG与Lap的效果比较。并附有代码所使用的irisic的数据-Own programming of K_means, BP neural network Irisic data classification, 4:00 cross-ratio, a single linear classification of nerve cells' and the comparison of t
main
- 神经网络算法在图像阈值分割中的实现，包括遗传神经网络训练示例，神经网络分割示例，传统BP训练遗传BP训练等-Neural network algorithm for image thresholding in implementation, including genetic neural network training example, neural network segmentation example, the traditional genetic BP BP training tr
BPneuralnet
- 利用bp神经网络实现五个字符的识别。输入为5个5*5维的向量。输出为一个五维向量。-Five character recognition using BP neural network. Input is five 5* 5-dimensional vector. Output is a five-dimensional vector.
vlpexe
- 利用BP神经网络定位车牌，基于OPENCV实现-BP neural network positioning plates, based on OPENCV achieve
MyOpenCVConsole
- 常用的opencv图像特征提取算法。包括直方图、边缘检测、角点检测、直线提取、圆形提取等。并包括不太成熟的BP神经网络识别纯底色数字。-Commonly used opencv image feature extraction algorithm. Including histograms, edge detection, corner detection, line extraction, circular extraction. And includes less mature pure b
BPnetandshuzixulianyangben
- 自编的BP神经网络Matlab程序，可完美运行。还附有0到9训练样本集，供大家参考学习-Self BP neural network Matlab program can be run perfectly. Accompanied by 0-9 training sample set for your learning
shiyan
- 用于植物叶片分类的图形界面,是Matlab源码，用BP神经网络实现-For plant leaf classification graphical interface, the Matlab source code, using BP neural network
myBP
- 简单的BP神经网络算法，采用正向传播和方向误差调整的方法，增加学习率使得网络收敛。-Simple BP neural network algorithm, using the forward direction of propagation and error adjustment method to increase the learning rate makes the network convergence.
hand-label
- 道路场景识别，通过对样本图像处理和特征提取，再通过bp神经网络进行学习，最后通过学习后得到的权值进行样本识别。-Road scene recognition, through the sample image processing and feature extraction, and then through bp neural network learning, and finally by learning the weights obtained after the sample ide
bp_matlab
- MATLAB源代码实现BP人工神经网络算法。-BP Neural Network based on MATLAB.
BP_rec
- 基于matlab的BP神经网络算法，可用于模式分类-Matlab-based algorithm of BP neural network can be used for pattern classification
chap7_2a
- BP 网络模式识别程序-BP neural network pattern recognition procedures