DocumentCode
1994472
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
fYear
2003
fDate
3-6 Aug. 2003
Firstpage
508
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN
0-7695-1960-1
Type
conf
DOI
10.1109/ICDAR.2003.1227717
Filename
1227717
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