Morphological text extraction from images

Yassin M Y Hasan, Lina Karam

Research output: Contribution to journalArticle

90 Scopus citations

Abstract

This paper presents a morphological technique for text extraction from images. The proposed morphological technique is insensitive to noise, skew and text orientation. It is also free from artifacts that are usually introduced by both fixed/optimal global thresholding and fixed-size block-based local thresholding. Examples are presented to illustrate the performance of the proposed method.

Original languageEnglish (US)
Pages (from-to)1978-1983
Number of pages6
JournalIEEE Transactions on Image Processing
Volume9
Issue number11
DOIs
StatePublished - Nov 1 2000

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Morphological text extraction from images'. Together they form a unique fingerprint.

  • Cite this