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

Satohi Iwakata, Masafumi Hagiwara, Yoshiaki Ajioka

研究成果: Article査読

4 被引用数 (Scopus)

抄録

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%.

本文言語English
ページ(範囲)959-965
ページ数7
ジャーナルIEEJ Transactions on Electronics, Information and Systems
124
4
DOI
出版ステータスPublished - 2004 1

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

フィンガープリント 「Character Region Extraction Algorithm from Scenery Images by Local and Parallel Processing」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル