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.
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Ye, Q., Huang, Q. (2004). A New Text Detection Algorithm in Images/Video Frames. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30542-2_106
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DOI: https://doi.org/10.1007/978-3-540-30542-2_106
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23977-2
Online ISBN: 978-3-540-30542-2
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