Scene Text Recognition

See Scene Text Detection for leaderboards in this task.

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Most implemented papers

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

PaddlePaddle/PaddleOCR • • 21 Jul 2015

In this paper, we investigate the problem of scene text recognition, which is among the most important and challenging tasks in image-based sequence recognition.

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

clovaai/deep-text-recognition-benchmark • • ICCV 2019

Many new proposals for scene text recognition (STR) models have been introduced in recent years.

FOTS: Fast Oriented Text Spotting with a Unified Network

jiangxiluning/FOTS.PyTorch • • CVPR 2018

Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community.

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

PaddlePaddle/PaddleOCR • • 2 Nov 2018

Recognizing irregular text in natural scene images is challenging due to the large variance in text appearance, such as curvature, orientation and distortion.

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

wenwenyu/MASTER-pytorch • • 7 Oct 2019

Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-decoder architecture.

A Multi-Object Rectified Attention Network for Scene Text Recognition

Canjie-Luo/MORAN_v2 • • 10 Jan 2019

It decreases the difficulty of recognition and enables the attention-based sequence recognition network to more easily read irregular text.

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

microsoft/unilm • • 21 Sep 2021

Text recognition is a long-standing research problem for document digitalization.

Robust Scene Text Recognition with Automatic Rectification

PaddlePaddle/PaddleOCR • • CVPR 2016

We show that the model is able to recognize several types of irregular text, including perspective text and curved text.

Decoupled Attention Network for Text Recognition

Canjie-Luo/Scene-Text-Image-Transformer • • 21 Dec 2019

To remedy this issue, we propose a decoupled attention network (DAN), which decouples the alignment operation from using historical decoding results.

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

open-mmlab/mmocr • • ECCV 2020

Theoretically, our proposed method, dubbed \emph, decodes individual characters with dynamic ratio between context and positional clues, and utilizes more positional ones when the decoding sequences with scarce context, and thus is robust and practical.

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