GitHub

Data19C/Handwritten-Digit-Recognition-System

一个基于 MATLAB 开发的完整手写数字识别系统，采用经典的 HOG（方向梯度直方图）特征提取 和 SVM（支持向量机）分类算法。该系统实现了从图像预处理到实时识别的完整机器学习流程，在标准测试集上达到 95%以上 的识别准确率。 系统对不同数字的识别准确率 ...
来自MSN

Digit recognition with deep learning — PyTorch beginner project

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
IEEE

Handwritten Digit Recognition using Ensemble learning techniques: A Comparative performance ...

Abstract: The detection of some digits written by humans may seem very easy; however, in reality, it is a very challenging and tedious task to extract text from real images because of the wide variety ...
IEEE

Advanced Deep Learning Techniques for Arabic Handwritten Digit Classification

Abstract: This paper explores the application of deep learning algorithms, particularly Convolutional Neural Networks (CNNs), for Arabic handwritten digit recognition. The dataset used in this study ...