Review of Scene Text Detection and Recognition

Scene texts contain rich semantic information which may be used in many vision-based applications, and consequently detecting and recognizing scene texts have received increasing attention in recent years. In this paper, we first introduce the history and progress of scene text detection and recogni...

Full description

Saved in:
Bibliographic Details
Published in:Archives of computational methods in engineering 2020-04, Vol.27 (2), p.433-454
Main Authors: Lin, Han, Yang, Peng, Zhang, Fanlong
Format: Article
Language:English
Subjects:
Computer engineering
Datasets
Engineering
Mathematical and Computational Engineering
Original Paper
Pattern recognition
Recognition
Texts
Vision systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Scene texts contain rich semantic information which may be used in many vision-based applications, and consequently detecting and recognizing scene texts have received increasing attention in recent years. In this paper, we first introduce the history and progress of scene text detection and recognition, and classify conventional methods in detail and point out their advantages as well as disadvantages. After that, we study these methods and illustrate the corresponding key issues and techniques, including loss function, multi-orientation, language model and sequence labeling. Finally, we describe commonly used benchmark datasets and evaluation protocols, based on which the performance of representative scene text detection and recognition methods are analyzed and compared.
ISSN:1134-3060
1886-1784
DOI:10.1007/s11831-019-09315-1