A formal model for document processing of business forms

Author

Cheriet, M. ; Said, J.N. ; Suen, C.Y.

Author_Institution

Ecole de Technol. Superieure, Quebec Univ., Montreal, Que., Canada

Volume

1

fYear

1995

fDate

14-16 Aug 1995

Firstpage

210

Abstract

We present a formal model for processing gray-scale images of business forms such as bank cheques. The formal model is based on a new hybrid-based approach namely the base lines. In fact, to segment handwritten and hand-printed data from bank cheques, knowledge rules and base lines will have important roles to segment and extract the information from bank cheques. The architectural design as well as the major components of the system is discussed in full detail. Moreover, the significant use of the morphological followed by the topological processing on gray-scale images is used as a major aspect to restore the lost information after the elimination of the background and the base lines from the gray-scale cheques

Keywords

business forms; document image processing; handwriting recognition; image enhancement; image segmentation; optical character recognition; bank cheques; base lines; business forms; document processing; formal model; gray-scale cheques; gray-scale images; hand-printed data; hybrid-based approach; knowledge rules; morphological processing; topological processing; Data mining; Gray-scale; Image enhancement; Image restoration; Image segmentation; Information filtering; Information filters; Object detection; Pixel; Surface-mount technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.598978

Filename

598978