DocumentCode
1582951
Title
A recursive analysis for form cell recognition
Author
Shinjo, Hiroshi ; Hadano, Eiichi ; Marukawa, Katsumi ; Shima, Yoshihiro ; Sako, Hiroshi
Author_Institution
Central Res. Lab., Hitachi Ltd., Japan
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
694
Lastpage
698
Abstract
It is very difficult to analyze form structures because of breaks in lines and additional noises in the form image. This paper focuses on cell recognition in low quality form images. The recognition method has two features to achieve robustness in cell recognition. One is grid representation using several types of intersection and the terminal points of the frame lines. The other is the recursive modification of the representation. A new representation is created according to the determination of the breaks in the line and the hypothesized location of the missed intersections by using the previous representation. The modification is processed recursively until the representation has perfect consistency and all form cells are detected. In an experiment using 1565 form samples, all cells in 1538 samples (98.3% of 1565 samples) were recognized correctly by this method
Keywords
business forms; document image processing; optical character recognition; OCR; business forms; cell recognition; document image processing; experiments; form image; frame lines; grid representation; intersection analysis; low-quality images; Character recognition; Documentation; Government; Image analysis; Image recognition; Laboratories; Noise robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7695-1263-1
Type
conf
DOI
10.1109/ICDAR.2001.953879
Filename
953879
Link To Document