Image-based form document retrieval

被引:13
|
作者
Liu, JH [1 ]
Jain, AK [1 ]
机构
[1] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
关键词
document analysis; form processing; form recognition; image database; line detection; similarity measure; document retrieval;
D O I
10.1016/S0031-3203(99)00066-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We address the problem of image-based form document retrieval. The essential element of this problem is the definition of a similarity measure that is applicable in real situations. where query images are allowed to differ from 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.
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页码:503 / 513
页数:11
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