Extraction of Scene Text Information from Video

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Author(s)

Too Kipyego Boaz 1,* Prabhakar C.J. 1

1. Department of Computer science, Kuvempu University, Shivammoga, Karnataka, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2016.01.02

Received: 14 Sep. 2015 / Revised: 15 Oct. 2015 / Accepted: 1 Dec. 2015 / Published: 8 Jan. 2016

Index Terms

Natural Scene, Text Information Extraction, Stereo Frames

Abstract

In this paper, we present an approach for scene text extraction from natural scene video frames. We assumed that the planar surface contains text information in the natural scene, based on this assumption, we detect planar surface within the disparity map obtained from a pair of video frames using stereo vision technique. It is followed by extraction of planar surface using Markov Random Field (MRF) with Graph cuts algorithm where planar surface is segmented from other regions. The text information is extracted from reduced reference i.e. extracted planar surface through filtering using Fourier-Laplacian algorithm. The experiments are carried out using our dataset and the experimental results indicate outstanding improvement in areas with complex background where conventional methods fail.

Cite This Paper

Too Kipyego Boaz, Prabhakar C. J.,"Extraction of Scene Text Information from Video", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.1, pp.15-26, 2016. DOI: 10.5815/ijigsp.2016.01.02

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