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Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
End-to-end Chinese scene-text detection and recognition with CTPN, CRNN, and CTC (legacy project).
TextBoxes++: A Single-Shot Oriented Scene Text Detector
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
A scene text recognition toolbox based on PyTorch
Scene text detection and recognition based on Extremal Region(ER)
Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
MASTER
Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"
End-to-end pipeline for real-time scene text detection and recognition.
H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.
TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.
This is a c++ project deploying a deep scene text reading pipeline with tensorflow. It reads text from natural scene images. It uses frozen tensorflow graphs. The detector detect scene text locations. The recognizer reads word from each detected bounding box.