Title :
Enhancing degraded document images via bitmap clustering and averaging
Author :
Hobby, John D. ; Ho, Tin Kam
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
Abstract :
Proper display and accurate recognition of document images are often hampered by degradations caused by poor scanning or transmission conditions. The authors propose a method to enhance such degraded document images for better display quality and recognition accuracy. The essence of the method is in finding and averaging bitmaps of the same symbol that are scattered across a text page. Outline descriptions of the symbols are then obtained that can be rendered at arbitrary solution. The paper describes details of the algorithm and an experiment to demonstrate its capabilities using fax images
Keywords :
bit-mapped graphics; document image processing; facsimile; rendering (computer graphics); algorithm; arbitrary solution; averaging; bitmap clustering; degraded document image enhancement; document image display quality; document image recognition accuracy; fax images; outline descriptions; rendering; scanning conditions; symbol; text page; transmission conditions; Clustering algorithms; Degradation; Displays; Document image processing; Image recognition; Image segmentation; Optical character recognition software; Rendering (computer graphics); Scattering; Shape;
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.1997.619877