• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Novel Video Image Text Detection Method

Vol. 6, No.3, March 23, 2012
10.3837/tiis.2012.03.010, Download Paper (Free):

Abstract

A novel and universal method of video image text detection is proposed. A coarse-to-fine text detection method is implemented. Firstly, the spectral clustering (SC) method is adopted to coarsely detect text regions based on the stationary wavelet transform (SWT). In order to make full use of the information, multi-parameters kernel function which combining the features similarity information and spatial adjacency information is employed in the SC method. Secondly, 28 dimension classifying features are proposed and support vector machine (SVM) is implemented to classify text regions with non-text regions. Experimental results on video images show the encouraging performance of the proposed algorithm and classifying features.


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Cite this article

[IEEE Style]
Lin Zhou, Xijian Ping, Haolin Gao and Sen Xu, "A Novel Video Image Text Detection Method," KSII Transactions on Internet and Information Systems, vol. 6, no. 3, pp. 941-953, 2012. DOI: 10.3837/tiis.2012.03.010

[ACM Style]
Zhou, L., Ping, X., Gao, H., and Xu, S. 2012. A Novel Video Image Text Detection Method. KSII Transactions on Internet and Information Systems, 6, 3, (2012), 941-953. DOI: 10.3837/tiis.2012.03.010