Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

Handwritten Korean Character Recognition with TensorFlow and Android

Handwritten Text Recognition and Character Detection

Official Implementation of "Textcaps: Handwritten Character Recognition With Very Small Datasets" (WACV 2019).

ScriptReader allows you to perform Optical Character Recognition (OCR) on your handwritten notes!

Training a CNN on Tensorflow to recognize handwritten Chinese characters

Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.

Handwritten Chinese character recognition with deep CNN

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

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

Handwritten Character Recognition System using Neural Networks is developed using MATLAB Neural Network and Image Processing tool box. This system has been developed using existing algorithms like Preprocessing and Feature Extraction techniques.

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

Arabic Handwritten Characters Recognition using Deeplearning4j

Optical Character Recognition system for handwritten math expressions

Recognizing handwritten character image using CNN with the CNN model trained using EMNIST dataset. The work is extended by adding 12 more characters from Tamil language to the dataset and prediction is made.

Optical Character Recognition of handwritten documents in Kannada

Handwritten character recognition system written in Java (Neural network)

Handwritten Japanese character recognition using neural networks.

Official implementation for ICDAR 2024 Oral paper "ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition"

Offline Handwritten Chinese Character Recognition based on HCCR-CNN9Layer.

A tensorflow implementation of recognition of handwritten Chinese characters.

This project aims to achieve good results in handwritten mathematical formulas, printed formulas, complex formula samples, or comprehensive optical character recognition tasks.

Handwritten optical character recognition

Handwritten Telugu Character Recognition using Convolutional Neural Networks

Offline Nepali Handwritten Character Recognition Using Artificial Neural Networks

This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.

手写汉字识别系统

An academic project done during 7th semester of BSc.CSIT. Read blog at https://q-viper.github.io/2020/09/30/ocr-for-devanagari-handwritten-character-recognition-building-a-classifier/

Handwritten Number Recognition using CNN and Character Segmentation