Title :
An object/segment oriented skew-correction technique for document images
Author :
Ali, Majdi Ben Hadj
Author_Institution :
Res. Center for Artifical Intelligence, Germany
Abstract :
An innovative skew correction technique is presented. The method is not pixel oriented as most classical techniques, but is object/segment oriented. It does not presuppose a unique text orientation in the document image and can handle document images including “text” blocks with different orientations. It is very efficient in the sense that only the relevant data/information is rotated
Keywords :
artificial intelligence; document image processing; object recognition; optical character recognition; word processing; document images; innovative skew correction technique; object/segment oriented skew correction technique; optical character recognition systems; text blocks; text orientation; Artificial intelligence; Character recognition; Image converters; Image segmentation; Optical character recognition software; Optical devices; Optical sensors; Pixel; Robustness;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620591
