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手写识别系统
- 数字识别,识别手写体。 使用神经网络算法编写。 识别率一般,带训练功能-Number recognizing system,used to recogize the hand writing figures.It is writen by nero network and has low recognizing effects but we can exercise it.
bp网络数码识别
- 基于bp神经网络的数字识别程序,练习时候编写着玩的,大家在网上肯定没有见过-A number recognition procudure base on bg NN ,writed on practice , first apperd on web
基于进化BP网络的含噪声点阵数字的识别
- 基于进化BP网络的含噪声点阵数字识别的源程序,希望对大家有所启示。-BP network based on the evolution of the digital matrix containing noise identification of the source, we hope to reveal.
基于Tensorflow的CNN数字识别
- 本文实现了基于minist的手写数字识别,基于TensorFlow的python语言,程序有详细的注释,以及手把手教你怎么搭建CNN(This article implements the handwritten numeral recognition based on minist, the python language based on TensorFlow, the program has detailed annotations, and hands-on instructions o
number-identification
- matlab实现图片中的数字识别,模板匹配法(To realize number identification by template matching using MATLAB)
R语言 svm 手写数字识别
- 用R语言写的手写数字识别算法(svm 方法)(Handwritten numeral recognition algorithm written in R language (SVM method))
第 08 章 基于知识库的手写体数字识别
- 通过深度学习,利用已有库文件提取手写体图信息。与数据库中的内容进行对比,来识别手写体字母。(Through in-depth learning, handwritten graphic information is extracted from existing library files. Compare with the content in the database to recognize handwritten letters.)
BP神经网络实现手写数字识别matlab实现
- 基于BP神经网络对几种字体0-9的数字识别(MATLAB)(Digital Recognition of Several Fonts 0-9 Based on BP Neural Network (MATLAB))
CNN
- 手写数字识别的数据集 matlab实现cnn(Data Set for Handwritten Number Recognition Realization of CNN in matlab)
手写数字识别
- 运用卷积神经网络进行特征提取,然后进行分类(Using convolution neural network to extract features and classify them)
手写体数字识别
- 基于TensorFlow框架的三层神经网络手写体数字识别
基于LabVIEW的图像识别系统
- 基于LabVIEW的图像处理系统,基本教程,有很多实例:包括车牌识别,数字识别,图像处理等。适合相关从业人员交流学习!(Image processing system based on LabVIEW, basic tutorial, there are many examples: including license plate recognition, digital recognition, image processing, etc. Suitable for relevant prac
1111
- 基于PCA的手写数字识别源码,内附有说明文件,非常清晰!运行环境:matlab。(Handwritten digital character recognition based on PCA and BP network)
BP_mnist_UI-master
- 基于BP神经网络的手写数字识别,有完整代码(based image segmentation algorithm)
MATLAB数字表盘识别[GUI界面,界面丰富]
- 该课题为MATLAB数字仪表图像识别系统。可以识别万用表,压力表,电表,手表等的数字识别,包括小数点。带有一个GUI界面,流程为:灰度,二值化,定位,连通闭环,分割出数字区域,开闭运算,去除小面积,细化,精准定位,分割,识别。(This project is a digital instrument image recognition system based on MATLAB. Can identify multimeter, pressure gauge, electricity mete
深度学习CNN手写数字识别
- 利用CNN网络手写数字识别,注释清楚,损失函数用的是focalloss,标注明确,可以跑通,框架是pytorch
手写数字识别
- 简单的神经网路学习入门学习资料,使用bp神经网络进行手写数字识别。
53_digital_recognition
- FPGA数字识别,使用正点原子开发板进行开发,准确率非常高。(FPGA digital recognition, using the punctual atomic development board for development, the accuracy is very high.)
神经网络-手写数字识别
- 利用BP神经网络,对MNIST数据集中的5000张图片进行训练,实现手写数字识别,训练出来的结果准确率在90%。
Qt数字识别系统
- 基于Qt5平台的手写数字识别系统,应用opencv函数库