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NumberRecognition
- 此程序用于识别手写数字,主要是采用基于特征的方法,用一个5×5的栅格将数字分成25分,每份为一个特征,共有25个特征,然后进行特征匹配,识别出数字。-This procedure used to identify handwritten digits, mainly based on the characteristics of the method, using a 5 × 5 grid will be divided into 25 sub-figures, each as a featur
num
- 利用matlab采用基于Gabor特征的识别算法实现手写数字识别-Using matlab recognition based on Gabor feature recognition algorithm for handwritten numeral
bp
- BP神经网络的手写数字识别 识别数字为0~-BP neural network recognition of handwritten numeral recognition numbers from 0 to 99
手写数字识别 matlab
- 手写数字识别 matlab,用于进行数字识别,是机器学习现在的热门话题
readMNIST
- 用ELM实现手写数字的识别,快速,用MNIST数据库(Handwritten numbers recognition realized by ELM)
kmean
- 通过编写Kmeans算法识别自己的手写数字0——9个数字(Through the preparation of Kmeans algorithm to identify their handwritten numbers 0 - 9 numbers)
实验45 手写识别实验
- 基于STM32的手写识别,使用STM32战舰V3开发板,STM32F3ZET6。在LCD触摸屏幕中,滑动手指,可以识别手写的字符和数字。(STM32-based handwriting recognition, the use of STM32 warship V3 development board, STM32F3ZET6. In the LCD touch screen, slide your finger to recognize handwritten characters and n
MNIST
- MNIST手写体数字识别库及图片提取代码MNIST手写数字库识别实现摘要手写数字识别是模式识别的应用之一。文中介绍了手写数字的一些主要特征,并提出了截断次数特征并利用截断次数特征进行了实验(MNIST handwritten digital identification library and picture extraction code MNIST handwritten numeral library identification implementation summary Handwr
neuralnetwork-sample
- 由java编写的,具有gui界面的,手写数字识别神经网络示例(Written by Java, with GUI interface, handwritten numeral recognition neural network examples)
train-labels-idx1-ubyte
- 用于手写数字识别的训练数据(标签) 数据格式:前32位为2049,再32位为数据数量,之后每一位都是标签值(Training data (tags) for handwritten digit recognition)
t10k-labels-idx1-ubyte
- 用于手写数字识别的预测数据(标签) 数据格式:前32位为2049,再32位为数据数量,之后每一位都是标签值(Predictive data (tags) for handwritten numeral recognition)
train-images-idx3-ubyte
- 用于手写数字识别的训练数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Training data (pictures) for handwritten digit recognition)
t10k-images-idx3-ubyte
- 用于手写数字识别的预测数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Predictive data (pictures) for handwritten numeral recognition)
kNN
- KNN算法改进约会网站配对效果;KNN实现手写数字识别(KNN algorithm to improve the matching effect of dating sites; KNN handwritten numeral recognition)
BP神经网络实现手写数字识别matlab实现
- BP神经网络实现手写数字识别matlab实现(Matlab implementation of handwritten digit recognition based on BP neural network)
手写数字识别
- 一个练习机器学习的算法,解决手写数字识别的算法(An algorithm that exercises machine learning to solve the handwritten numeral recognition algorithm)
mnist1
- 训练手写数字识别算法,正确率达到91.6%(Training handwritten numeral recognition)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
Classify handwriten digits
- python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
simplecharrec(III)-update
- 基于PCA和BP网络的手写数字字符的识别(Recognition of handwritten numeric characters based on PCA and BP networks)