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An Efficient Form Classification Method Using Partial Matching
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An Efficient Form Classification Method Using Partial Matching
Yungcheol Byun3  , Sungsoo Yoon4, Yeongwoo Choi5, Gyeonghwan Kim6 and Yillbyung Lee4
| (3) |
Dept. of Computer Software Research Laboratory, ETRI, Korea |
| (4) |
Dept. of Computer Science, Yonsei University, Korea |
| (5) |
Dept. of Computer Science, Sookmyung Women’s University, Korea |
| (6) |
Dept. of Electronic Engineering, Sogang University, Korea |
Abstract
In this paper, we are proposing an efficient method of classifying form that is applicable in real life. Our method will identify
a small number of local regions by their distinctive images with respect to their layout structure and then by using the DP
(Dynamic Programming) matching to match only these local regions. The disparity score in each local region is defined and
measured to select the matching regions. Genetic Algorithm will also be applied to select the best regions of matching from
the viewpoint of a performance. Our approach of searching and matching only a small number of structurally distinctive local
regions would reduce the processing time and yield a high rate of classification.
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