DocumentCode :
3120089
Title :
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
Link To Document :
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