Title :
Form registration: a computer vision approach
Author :
Safari, R. ; Narasimhamurthi, N. ; Shridha, M. ; Ahmadi, M.
Author_Institution :
Windsor Univ., Ont., Canada
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;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620611
