Form registration: a computer vision approach

Author

Safari, R. ; Narasimhamurthi, N. ; Shridha, M. ; Ahmadi, M.

Author_Institution

Windsor Univ., Ont., Canada

Volume

2

fYear

1997

fDate

18-20 Aug 1997

Firstpage

758

Abstract

In this paper, a technique for extracting the distortion parameters in filled-in forms is presented. The technique determines the transformations that are required to convert a filled-in form to match a known master and then extracts filled-in information. The method involves determining corresponding lines and key points between the master and the filled-in form and using the correspondence to determine the appropriate transformation. The correspondence problem is solved using results from affine geometry

Keywords

business data processing; business forms; computational geometry; computer vision; document image processing; image matching; image registration; office automation; affine geometry; computer vision; distortion parameter extraction; filled-in forms; form registration; image correspondence; image matching; key points; lines; office automation; point pattern matching; skew correction; transformation; Computer vision; Data mining; Feature extraction; Geometry; Office automation; Robustness; Shearing; Testing; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.620611

Filename

620611