This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

Text, as one of the most influential inventions of humanity, has played an important role in
human life, so far from ancient times. The rich and precise information embodied in text is …

A challenging aspect of scene text recognition is to handle text with distortions or irregular
layout. In particular, perspective text and curved text are common in natural scenes and are …

Incidental scene text spotting is considered one of the most difficult and valuable challenges
in the document analysis community. Most existing methods treat text detection and …

The attention-based encoder-decoder framework has recently achieved impressive results
for scene text recognition, and many variants have emerged with improvements in …

Image-based sequence recognition has been a long-standing research topic in computer
vision. In this paper, we investigate the problem of scene text recognition, which is among …

We present recursive recurrent neural networks with attention modeling (R2AM) for lexicon-
free optical character recognition in natural scene images. The primary advantages of the …

In this paper, we present a novel SpaTial Attention Residue Network (STAR-Net) for
recognising scene texts. Our STAR-Net is equipped with a spatial attention mechanism …

Scene text recognition is a challenging task due to diverse variations of text instances in
natural scene images. Conventional methods based on CNN-RNN-CTC or encoder …

Abstract Optical Character Recognition (OCR) aims to recognize text in natural images.
Inspired by a recently proposed model for general image classification, Recurrent …