Video text localization using wavelet and shearlet transforms

Purnendu Banerjee; B. B. Chaudhuri

doi:10.1117/12.2036077

24 March 2014 Video text localization using wavelet and shearlet transforms

Purnendu Banerjee, B. B. Chaudhuri

Proceedings Volume 9021, Document Recognition and Retrieval XXI; 90210B (2014) https://doi.org/10.1117/12.2036077
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Text in video is useful and important in indexing and retrieving the video documents efficiently and accurately. In this paper, we present a new method of text detection using a combined dictionary consisting of wavelets and a recently introduced transform called shearlets. Wavelets provide optimally sparse expansion for point-like structures and shearlets provide optimally sparse expansions for curve-like structures. By combining these two features we have computed a high frequency sub-band to brighten the text part. Then K-means clustering is used for obtaining text pixels from the Standard Deviation (SD) of combined coefficient of wavelets and shearlets as well as the union of wavelets and shearlets features. Text parts are obtained by grouping neighboring regions based on geometric properties of the classified output frame of unsupervised K-means classification. The proposed method tested on a standard as well as newly collected database shows to be superior to some of the existing methods.

Citation Download Citation

Purnendu Banerjee and B. B. Chaudhuri "Video text localization using wavelet and shearlet transforms", Proc. SPIE 9021, Document Recognition and Retrieval XXI, 90210B (24 March 2014); https://doi.org/10.1117/12.2036077

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