Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Automatic Filter Selection Using Image Quality Assessment
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
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.
Citation:
Andrea Souza, Mohamed Cheriet, Satoshi Naoi, Ching Y. Suen, "Automatic Filter Selection Using Image Quality Assessment," icdar, vol. 1, pp.508, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003