NDLI: Form identification based on cell structure

Content Provider	IEEE Xplore Digital Library
Author	Shimotsuji, S. Asano, M.
Copyright Year	1996
Description	Author affiliation: Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan (Shimotsuji, S.)
Abstract	This paper proposes a new form document identification technique that uses the structure of cells in a form. The proposed method represents the cell structure by the location of the center points of each cell. This representation allows the form identification to be realized by a process of matching the points in an input image to the points in registered forms. We have implemented the point matching process using the two-dimensional hash table. This implementation enables the system to robustly identify an input form even if it is skewed or deformed by a scanning process, and to reduce the time for the identification. Moreover, the similarity between two forms defined by the implementation can be used to evaluate the identification ability when a set of registered forms is specified. Experimental results show the robustness and effectiveness of the proposed technique.
Starting Page	793
Ending Page	797
File Size	526290
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.547277
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise robustness Image databases Handwriting recognition Image converters Merchandise Application software Optical character recognition software Text recognition Costs Identity management systems
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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