Character Region Extraction Algorithm from Scenery Images by Local and Parallel Processing

Satohi Iwakata, Masafumi Hagiwara, Yoshiaki Ajioka

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, we propose an algorithm extracting character domains from scenery images. This algorithm works under a severe constraint: each pixel in a processed image must be derived from only information of the neighboring pixels. This constraint is very important for a low cost device such as a mobile camera, because it makes possible to process each pixel in parallel. The proposed algorithm deals with color information based on physiological knowledge, and uses size of regions for judging whether a region is characters or not. The proposed algorithm is represented by local and parallel image processing and has been tested using 100 scenery images. The result shows that the proposed algorithm can extract character regions in a rate of more than 90%.

Original languageEnglish
Pages (from-to)959-965
Number of pages7
JournalIEEJ Transactions on Electronics, Information and Systems
Volume124
Issue number4
DOIs
Publication statusPublished - 2004 Jan

Keywords

  • character extraction
  • local and parallel image processing
  • scenery image
  • support for sight-restricted people

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Character Region Extraction Algorithm from Scenery Images by Local and Parallel Processing'. Together they form a unique fingerprint.

Cite this