International Journal of Engineering, Science and Mathematics
  • Year: 2017
  • Volume: 6
  • Issue: 4

Text regionseparation in document images: A review

  • Author:
  • Baljinder Kaur1, Balwinder Singh2
  • Total Page Count: 4
  • Page Number: 154 to 157

1M. Tech. Research Scholar, Computer Engg. Section, Yadavindra College of Engineering, Talwandi Sabo, India

2Assistant Prof. (Computer Science), Yadavindra College of Engineering, Talwandi Sabo, India

Online published on 19 April, 2019.

Abstract

Extracting text blocks from scanned document images is a crucial step in optical character recognition systems, as images, graphics, equations and tables are also part of documents. Other applications of text block detection are image compression, indexing and archiving. In this paper, an attempt has been made to list and analyze various text-graphics separation schemes for document images. The different techniques for various scripts has been studied and merits and demerits of various methods has been listed.

Keywords

Text graphics separation, Document images, Text region, Text identification, Printed text