A study on printed form processing and reconstruction

Author

Zhao, Zhi-hong ; Tian, Xue-dong ; Guo, Bao-lan

Author_Institution

Sch. of Math. & Comput., Hebei Univ., Baoding, China

Volume

4

fYear

2002

fDate

4-5 Nov. 2002

Firstpage

1730

Abstract

Considering we deal with a lot of forms in our daily life, form-processing system has a great value in office automation. This paper focuses on processing and reconstructing the printed forms. The main problems in form processing are the broken lines and the errors in field extraction. These problems affect the result of the form processing. Some methods are introduced in this paper to improve the result of field extraction. First we use regulated morphology to solve the broken lines. Second a novel method by heuristic algorithm is used to improve the field extraction accuracy. The results indicate that these methods improve the result of form processing. The reconstruction of form image is also discussed in this paper.

Keywords

business forms; document image processing; feature extraction; image reconstruction; field extraction; form reconstruction; form-processing system; heuristic algorithm; line detection; office automation; regulated morphology; Automation; Data mining; Data preprocessing; Government; Heuristic algorithms; Image reconstruction; Mathematics; Morphological operations; Morphology; Strips;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1175332

Filename

1175332