An Effective Approach Towards Video Text Recognition

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 264)

Abstract

With the rapid increase in digital video capture and editing technologies in recent times there is a great demand for Semantic-based Video Analysis and indexing algorithms. Video Text is an important semantic clue in video content analysis such as video information retrieval and summarization.In this paper, a Video text detection and localization algorithm is proposed that extracts the Eigen feature embodied in wavelet edge map. Also described is an iterative variance based threshold calculation method for Video text binarization. Experimental results on diverse videos demonstrate the robustness and efficiency of proposed method for detecting and recognizing superimposed text and multi-oriented scene text.

Keywords

Wavelet Eigen value Stroke width Transform Binarization 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of IS, DSCEVisvesvaraya Technological UniversityBangaloreIndia

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