Text extraction in real scene images on planar planes

Keechul Jung, Kwang I. Kim, Junghyun Han

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

13 Citations (Scopus)

Abstract

This paper proposes a hybrid approach of texture-based method and connected component-based one for extracting texts in real scene images. For detecting texts having a lot of variations in size, shape, etc, we use a multiple-continuously adaptive mean shift algorithm on the text probability image produced by a multi-layer perceptron. It is assumed that scene text lies on planar rectangular surfaces with homogeneous background colors. We correct perspective distortion using warping parameters calculated after segmentation of an input image. We can detect and reconstruct text images accurately and efficiently.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages469-472
Number of pages4
Volume16
Edition3
Publication statusPublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Text extraction in real scene images on planar planes'. Together they form a unique fingerprint.

  • Cite this

    Jung, K., Kim, K. I., & Han, J. (2002). Text extraction in real scene images on planar planes. In Proceedings - International Conference on Pattern Recognition (3 ed., Vol. 16, pp. 469-472)