We address the problem of image-based form document retrieval. The essentia
l element of this problem is the definition of a similarity measure that is
applicable in real situations. where query images are allowed to differ fr
om the database images. Based on the definition of form signature, we have
proposed a similarity measure that is insensitive to translation, scaling,
moderate skew (<5 degrees) and variations in the geometrical proportion of
the form layout. This similarity measure also has a good tolerance to line
detection errors. We have developed a prototype form retrieval system based
on the proposed similarity measure. Preliminary experimental results on a
database containing 100 different kinds of forms are encouraging. (C) 2000
Pattern Recognition Society. Published by Elsevier Science Ltd. All rights
reserved.