Irregular Text Recognition

5 papers with code • 0 benchmarks • 2 datasets

To read a text from an image might be difficult due to the improper angle of the text inside the image or due to surprising font. Hence, to recognize the text data from the image, Irregular Text Recognition is used.

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Use these libraries to find Irregular Text Recognition models and implementations
2 papers
38,458

Most implemented papers

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.

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

open-mmlab/mmocr ECCV 2020

Theoretically, our proposed method, dubbed \emph{RobustScanner}, 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.

A Hybrid Deep Learning Model for Arabic Text Recognition

msfasha/TextImagesToolkit 4 Sep 2020

This paper presents a model that can recognize Arabic text that was printed using multiple font types including fonts that mimic Arabic handwritten scripts.

SCATTER: Selective Context Attentional Scene Text Recognizer

phantrdat/cvpr20-scatter-text-recognizer CVPR 2020

The first attention step re-weights visual features from a CNN backbone together with contextual features computed by a BiLSTM layer.