搜索资源列表
nRecognition
- 神经网络数字识别,包括数字图像以及识别的matlab代码。-Neural network digital identification, including digital images, and recognition matlab code.
project3
- 使用BP神经网络来识别彩色图像的类. 自己取采样样本-apply the backpropagation neural network to classify a color image you choose. You need to determine the number of classes and select the training samples by yourself.
imrecognition
- 用BP网络进行图像识别。先对两类图像进行训练,然后输入测试图片测试,用神经网络来识别 -image recognition based on BP neutral network
chepaisihbie-matlab
- 基于matlab的汽车牌照识别程序,能够实现车牌图像预处理,车牌定位,字符分割,然后通过神经网络对车牌进行字符识别,最终从一幅图像中提取车牌中的字母和数字,给出文本形式的车牌号码。-failed to translate
ju_bubianliang
- 用于边缘图像不变矩的计算,得到的七个不变矩可用于神经网络进行识别。-Used for the calculation of moment invariants edge image, and get seven invariant moments can be used for neural network to recognize.
DigitRecoginitionSys
- 用VC++语言,基于灰度二阶矩阵,使用神经网络进行识别训练的数字图像识别系统-In C++ language, based on gray-scale second-order matrix, the use of neural networks to digital image recognition system to identify training
Image-contour-extraction
- 图像形状提取:加入了神经网络识别,即提取出每幅图像的7阶矩特征后,送入神经网络进行识别-Image shape extraction: joined the neural network recognition, namely the extraction of each image in the7order moment characteristics, into the neural network identification
plateidentify
- 车牌识别 opencv 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-License plate recognition opencv The first open a picture and then follow the order of grayscale, binary, gray stretch,
bbassedon__BPa
- 一种基于BP的神经网络的人脸图像识别方法的研究。其中详细讲述了一种种基于BP的神经网络人脸识别方法,还附有部分源程序源码 可直接使用。 -A BP neural network-based face recognition method. Which describes in detail a various recognition based on BP neural network method, accompanied by some of the source code can be
Bshiyan_moshia
- 模式识别的图像的贝叶斯分类图图像的贝叶斯分类神经网络模式识别 -Bayesian pattern recognition, image classification maps the image of the Bayesian classifier neural network pattern recognition
license-plate-recognition-system-
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-First open a picture in order graying, binarization, gray stretch, license plate location, binarization, skew correction and character s
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.
bp
- 利用Bp神经网络实现文字的识别,识别性能较好,先将图像进行分割,然后利用神经网络进行识别-BP neural network text recognition, the recognition performance is better, the first image segmentation and recognition using neural network
Untitled_1
- 人脸识别算法分类 基于人脸特征点的识别算法(Feature-based recognition algorithms)。 基于整幅人脸图像的识别算法(Appearance-based recognition algorithms)。 基于模板的识别算法(Template-based recognition algorithms)。 利用神经网络进行识别的算法(Recognition algorithms using neural network)。 基于光照估计模型理论
PlateIdentify
- 车牌字符识别C++程序 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-C++ program license plate character recognition 1. Open a picture first and then follow the order of graying, binarizati
lpr-system
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, t
location
- 图像处理,应用于bp神经网络车牌识别系统-picture dispose
vgg16
- 这是vgg16神经网络基于python的实现,可以用来识别图像中出现的物体。(This is the vgg16 neural network based on Python implementation, can be used to identify objects in the image.)
papur-eatlaw-network
- 这是在论文中,用matlab中神经网络bp方法训练红外图像象素值(This is in the paper, bp neural network method in matlab training infrared image pixel value)
73462685svm
- 关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)