Fast and accurate text detection in natural scene images with user-intention

Liuan Wang, Wei Fan, Yuan He, Jun Sun, Yutaka Katsuyama, Yoshinobu Hotta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Text detection in natural scene images plays an important role in content-based image retrieval, especially user-guided text detection for human-computer interaction. In this paper, we propose a fast and accurate text detection method with user-intention in terms of tap gesture. Firstly, a user-intention slice descriptor is designed based on the estimated text property, which contains all the user interested texts, and fast heuristic features and accurate texture feature of decomposed connected components (CCs) are fed into cascade of Gentle Adaboost classifiers to eliminate non-text candidates, finally candidate texts, sharing the same property consistent with the seed CCs, are accumulated to a user-intention text line according to local and global permutation constraint. Experimental results demonstrate the effectiveness and robustness of the proposed method in comparison with the state-of-art methods.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2920-2925
Number of pages6
ISBN (Electronic)9781479952083
DOIs
Publication statusPublished - 2014 Dec 4
Externally publishedYes
Event22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
Duration: 2014 Aug 242014 Aug 28

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference22nd International Conference on Pattern Recognition, ICPR 2014
CountrySweden
CityStockholm
Period14/8/2414/8/28

Keywords

  • Candiate CCs elimination
  • Gentle adaboost
  • Scene text detection
  • Text line accumulation
  • Use-intention slice descriptor

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Fast and accurate text detection in natural scene images with user-intention'. Together they form a unique fingerprint.

Cite this