Scene text detection and recognition: The deep learning era
With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …
transformed and reshaped. As an important research area in computer vision, scene text …
Text recognition in the wild: A survey
The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …
information carried by text is important in a wide range of vision-based application …
Recursive recurrent nets with attention modeling for ocr in the wild
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 …
free optical character recognition in natural scene images. The primary advantages of the …
Text detection and recognition in imagery: A survey
This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …
performance of text detection and recognition research in color imagery. It summarizes the …
Scene text recognition from two-dimensional perspective
Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text
recognition as a sequence prediction problem. Though achieving excellent performance …
recognition as a sequence prediction problem. Though achieving excellent performance …
Deep matching prior network: Toward tighter multi-oriented text detection
Detecting incidental scene text is a challenging task because of multi-orientation,
perspective distortion, and variation of text size, color and scale. Retrospective research has …
perspective distortion, and variation of text size, color and scale. Retrospective research has …
ICDAR 2013 robust reading competition
This report presents the final results of the ICDAR 2013 Robust Reading Competition. The
competition is structured in three Challenges addressing text extraction in different …
competition is structured in three Challenges addressing text extraction in different …
Scene text detection and recognition: Recent advances and future trends
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 …
human life, so far from ancient times. The rich and precise information embodied in text is …
Reading scene text in deep convolutional sequences
Abstract We develop a Deep-Text Recurrent Network (DTRN) that regards scene text
reading as a sequence labelling problem. We leverage recent advances of deep …
reading as a sequence labelling problem. We leverage recent advances of deep …
Gated recurrent convolution neural network for ocr
Abstract Optical Character Recognition (OCR) aims to recognize text in natural images.
Inspired by a recently proposed model for general image classification, Recurrent …
Inspired by a recently proposed model for general image classification, Recurrent …