Text extraction in real scene images on planar planes

Keechul Jung, Kwang In Kim, Jung Hyun Han

Research output: Contribution to journalArticlepeer-review

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
Pages (from-to)469-472
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number3
Publication statusPublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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