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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
DOI :
10.1109/ICDAR.2001.953879
