A Hierarchical Method for Automated Identification and Segmentation of Forms

Authors:
S. Mandal;S. P. Chowdhury;A. K. Das;Bhabatosh Chanda
Affiliations:
B. E. & Sc. University, Shibpur, India;B. E. & Sc. University, Shibpur, India;B. E. & Sc. University, Shibpur, India;ECS Unit Indian Statistical Institute, Calcutta, INDIA
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

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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.