A review of algorithms for text detection in images and videos

Yuliya Alexandrovna Bolotova, Vladimir Grigorievich Spitsyn, Polina Maksimovna Osina

Research output: Contribution to journalArticle

5 Citations (Scopus)

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 languageEnglish
Pages (from-to)441-452
Number of pages12
JournalComputer Optics
Volume41
Issue number3
DOIs
Publication statusPublished - 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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