A review of algorithms for text detection in images and videos

Abstract

This article reviews the history and state-of-the-art optical character recognition systems, such as ABBYY FineReader, Tesseract, CuneiForm, with particular attention given to their inner algorithms, including page layout analysis; page segmentation and document skew angle estimation. The overview includes the description and comparison of different methods proposed for the last 30 years in terms of speed and versatility. Critical analysis and discussions about the status of the field and open problems are reported.

Original language	English
Pages (from-to)	441-452
Number of pages	12
Journal	Computer Optics
Volume	41
Issue number	3
DOIs	https://doi.org/10.18287/2412-6179-2017-41-3-441-452
Publication status	Published - 2017

Keywords

OCR
Page layout analysis
Skew detection
Text segmentation

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Computer Science Applications
Electrical and Electronic Engineering

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title = "A review of algorithms for text detection in images and videos",

abstract = "This article reviews the history and state-of-the-art optical character recognition systems, such as ABBYY FineReader, Tesseract, CuneiForm, with particular attention given to their inner algorithms, including page layout analysis; page segmentation and document skew angle estimation. The overview includes the description and comparison of different methods proposed for the last 30 years in terms of speed and versatility. Critical analysis and discussions about the status of the field and open problems are reported.",

keywords = "OCR, Page layout analysis, Skew detection, Text segmentation",

author = "Bolotova, {Yuliya Alexandrovna} and Spitsyn, {Vladimir Grigorievich} and Osina, {Polina Maksimovna}",

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