Natural image character recognition using oriented basic image features.
Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
Whilst effective methods exist for character recognition in certain contexts, such as characters taken from printed or handwritten documents, these methods have not performed well when tested with characters taken from natural images. In this work we introduce oriented Basic Image Features (oBIFs), a system based upon local symmetry and orientation, and demonstrate how they can be used within a mutliscale system for natural image character recognition. The best performing system outperforms previous methods by 8.1% and 1.2% when tested with the two most common datasets. © 2011 IEEE.
|Title:||Natural image character recognition using oriented basic image features|
|Keywords:||character recognition, multiscale features, oBIF columns, oBIFs|
|UCL classification:||UCL > School of BEAMS > Faculty of Maths and Physical Sciences
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > CoMPLEX - Maths and Physics in the Life Sciences and Experimental Biology
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