Automatic Filter Selection Using Image Quality Assessment

Authors:
Andrea Souza;Mohamed Cheriet;Satoshi Naoi;Ching Y. Suen
Affiliations:
-;-;-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Year:
2003

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Abstract

We present a method for automatically selecting thebest filter to treat poor quality printed documents usingimage quality assessment. We introduce five qualitymeasures to obtain information about the quality of theimages, and morphological filters to improve theirquality. A training set of 370 images was used to developthe system. Experimental results on the test set show asignificant improvement in the recognition rate from73.24% using no filter at all to 93.09% after applying afilter that was automatically selected.