A new text detection algorithm in images/video frames

Authors:
Qixiang Ye;Qingming Huang
Affiliations:
Digital Media Lab, Institute of Computing Technology, and Research Center of Digital Media, Graduate School of of Sciences, Beijing, China;Digital Media Lab, Institute of Computing Technology, and Research Center of Digital Media, Graduate School of of Sciences, Beijing, China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Year:
2004

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Abstract

In this paper, we propose a new text detection algorithm for images/video frames in a coarse-to-fine framework. Firstly, in the coarse detection, multiscale wavelet energy feature is employed to locate all possible text pixels and then a density-based region growing method is developed to connect these pixels into text lines. Secondly, in the fine detection, four kinds of texture features are combined to represent a text line and a SVM classifier is employed to identify texts from the candidate ones. Experimental results on two datasets show the encouraging performance of the proposed algorithm.