DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Form Reading based on Form-type Identification and Form-data Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A new table interpretation methodology with little knowledge base: table interpretation methodology
Proceedings of the 2006 ACM symposium on Applied computing
A table-form extraction with artefact removal
Proceedings of the 2007 ACM symposium on Applied computing
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Abstract: It is very difficult to analyze form structures because of breaks in lines and additional noises on 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.