Text Trademark Detection Based on the SVM
Yanqin Chen · IEEE Software · 2013
With the development of e-commerce, more and more illegal manufactures and shopkeepers often have trademark infringement events, and a large part of trademarks are text trademarks. So finding out the text trademarks from images can be reference for some methods of text detection. But in contrast to the words added to the picture later, the detection of text trademarks are more complicated. Because they are in all kinds of scene pictures and the background are more complicated. Furthermore, their size, direction and colors are ever-changing. This paper proposes a new algorithm of text trademark detection, which combines the rough text location based on multi-scale edge detection and the advantages of SVM classifier. Compared with the traditional methods, the proposed algorithm can improves the accuracy of text trademark detection. Because of using secondary filter method, the time complexity has greatly improved than using machine learning only.