Title :
Automatic filter selection using image quality assessment
Author :
Souza, Andrea ; Cheriet, Mohamed ; Naoi, Satoshi ; Suen, Ching Y.
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
Abstract :
We present a method for automatically selecting the best filter to treat poor quality printed documents using image quality assessment. We introduce five quality measures to obtain information about the quality of the images, and morphological filters to improve their quality. A training set of 370 images was used to develop the system. Experimental results on the test set show a significant improvement in the recognition rate from 73.24% using no filter at all to 93.09% after applying a filter that was automatically selected.
Keywords :
digital filters; document image processing; image resolution; optical character recognition; automatic filter selection; image quality assessment; morphological filter; printed document; recognition rate; Artificial intelligence; Degradation; Image databases; Image quality; Image restoration; Information filtering; Information filters; Laboratories; Machine intelligence; Pattern recognition;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227717
