Automated text detection and text-line construction in natural images

Chih Chang Yu, Ying Nong Chen, Wang Hsin Hsu, Thomas C. Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This work develops an automated system to detect texts in natural images captured by the cameras embedded on mobile devices. Unlike former researches which focus on detecting with straight texts, this work proposes a text-line construction algorithm which is able to extract curved text-lines in any orientations. An image operator called the Stroke Width Transform is adopted to exploit connected components which have stroke-like properties. Text components are classified into two types: active and passive. The links of active components are considered the initial orientation of text-lines. Complete text-lines are constructed by linking active and passive components. The system is implemented on the Android platform and the experimental results demonstrate the feasibility and validity of the proposed system.

Original languageEnglish
Title of host publicationComputer Science and Its Applications, CSA 2012
Pages677-683
Number of pages7
DOIs
StatePublished - 2012
Event4th FTRA International Conference on Computer Science and Its Applications, CSA 2012 - Jeju Island, Korea, Republic of
Duration: 22 Nov 201225 Nov 2012

Publication series

NameLecture Notes in Electrical Engineering
Volume203 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th FTRA International Conference on Computer Science and Its Applications, CSA 2012
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/11/1225/11/12

Keywords

  • Mobile application
  • Stroke width transform
  • Text detection

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