Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2005.230
Title: Text extraction from name cards with complex design
Authors: Lin 
Tan, C.L. 
Issue Date: 2005
Source: Lin, Tan, C.L. (2005). Text extraction from name cards with complex design. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005 : 977-980. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2005.230
Abstract: This paper addresses the problem of text extraction from name card images with fanciful design containing complicated color background and reverse contrast regions. The proposed method is based on special edge detection followed by grouping of edges based on size, orientation and color attributes. The difficulties from color complexity caused by background color variation or reverse contrast are overcome by edge detection and color histogram. The grouping of edges filters out the background textures or graphical objects. The final detected text grouping is then binarized for OCR. Experimental results show improved text extraction in comparison with a conventional method. © 2005 IEEE.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/39907
ISBN: 0769524206
ISSN: 15205363
DOI: 10.1109/ICDAR.2005.230
Appears in Collections:Staff Publications

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