DocumentCode
3021704
Title
A hierarchical method for automated identification and segmentation of forms
Author
Mandal, S. ; Chowdhury, S.P. ; Das, A.K. ; Chanda, Bhabatosh
Author_Institution
CST Dept., Bengal Eng. & Sci. Univ., Shibpur, India
fYear
2005
fDate
29 Aug.-1 Sept. 2005
Firstpage
705
Abstract
In this paper we propose a fully automatic hierarchical method for identification of forms using global as well as local features. Moments of certain orders are considered as global shape features and are utilised to reduce the search space by selecting a subset of forms present in the database. The type of the candidate form is then identified within this subset through detail analysis using local geometrical and topological features. The candidate form is then segmented to extract the user-filled information.
Keywords
business forms; document image processing; feature extraction; image segmentation; feature extract; form identification; form segmentation; geometrical features; search space; shape features; topological features; Costs; Data mining; Feature extraction; High performance computing; Image reconstruction; Process design; Prototypes; Real time systems; Shape; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN
1520-5263
Print_ISBN
0-7695-2420-6
Type
conf
DOI
10.1109/ICDAR.2005.17
Filename
1575636
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