Handwritten Text Recognition (HTR) system implemented with TensorFlow.

OCR engine for all the languages

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

TensorFlow convolutional recurrent neural network (CRNN) for text recognition

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

Page to PAGE Layout Analysis Tool

Apply different text recognition services to images of handwritten documents.

End-to-end model training and deployment reference for handwritten Chinese text recognition, and can also be extended to other languages.

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"

Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"

Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"

Detect and read handwritten words on scanned pages.

(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”

OCR Tamil is a powerful tool that can detect and recognize text in Tamil images with high accuracy on Natural Scenes

HTRflow is the underlying engine for our HTR-pipeline

Ground Truth Resources for the HTR of patrimonial documents

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Handwritten Japanese OCR demo using touch panel to draw the input text using Intel OpenVINO toolkit

Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation into words or characters. Use CTC loss Function to train.