Handwritten Text Recognition (HTR) system implemented with TensorFlow.
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Updated
Apr 6, 2024 - Python
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
OCR engine for all the languages
TensorFlow convolutional recurrent neural network (CRNN) for text recognition
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.
Page to PAGE Layout Analysis Tool
Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".
Apply different text recognition services to images of handwritten documents.
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"
End-to-end model training and deployment reference for handwritten Chinese text recognition, and can also be extended to other languages.
Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"
Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"
Detect and read handwritten words on scanned pages.
OCR Tamil is a powerful tool that can detect and recognize text in Tamil images with high accuracy on Natural Scenes
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
Ground Truth Resources for the HTR of patrimonial documents
Handwritten Japanese OCR demo using touch panel to draw the input text using Intel OpenVINO toolkit
(Deprecated) deep learning based Chinese handwriting character recognition, 基于深度学习的手写汉字地址识别
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.
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