CNN在线识别手写中文。

Handwritten Chinese character recognition with deep CNN

CNN models for CASIA-HWDB dataset recognition, Implementation of paper <Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition>

The official implementation of the "A high-performance CNN method for offline handwritten Chinese character recognition and visualization" paper, Soft Comput 24, 7977–7987 (2020). https://doi.org/10.1007/s00500-019-04083-3

Handwritten Chinese character recognition is implemented through the Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Deep Belief Network(DBNs).

中国手写汉字识别 MATLAB实现 深度卷积网络 CNN Handwritten Chinese character recognition MATLAB implementation using deep convolutional networks CNN

A deep learning project for classifying handwritten Chinese numerals (0–14) using CNNs, built on the Chinese MNIST dataset of 15,000 grayscale images. Ideal for exploring image classification, character recognition, and multilingual AI applications.