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
fDate :
29 Aug.-1 Sept. 2005
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;
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2420-6
DOI :
10.1109/ICDAR.2005.17