结合WTLBP特征和SVM的复杂场景文本定位方法

doi:10.3969/j.issn.1001-2400.2012.04.019

Abstract

Abstract:

To reduce the false alarm rate in a complex scene text location, a text mode description method based on the combination of wavelet transform and LBP is proposed, which is used to classify candidate text regions as text or non-text regions. In the procedure of text location, firstly, the stroke edge is used to detect text regions, and the candidate text regions are obtained; secondly, WTLBP features of candidate text regions are extracted, and the support vector machine (SVM) classifier is employed to determine whether candidate text regions are text regions or not. Experimental results show that the proposed text feature is of high discrimination, and that using it in the procedure of verification can greatly reduce the false alarm rate of the scene text location.

Key words: text location, complex scene, WTLBP, support vector machine

LIU Xiaopei;LU Zhaoyang;LI Jing. Complex scene text location method based on WTLBP and SVM[J].J4, 2012, 39(4): 103-108.

References

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Complex scene text location method based on WTLBP and SVM

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