A robust method for recognition of monetary amount printed by checkwriter
Identifieur interne : 001585 ( Main/Exploration ); précédent : 001584; suivant : 001586A robust method for recognition of monetary amount printed by checkwriter
Auteurs : Masashi Koga [Japon] ; Ryuji Mine [Japon] ; Tsukasa Yasue [Japon] ; Hiroshi Sako [Japon] ; Hiromichi Fujisawa [Japon]Source :
- Systems and Computers in Japan [ 0882-1666 ] ; 2004-06-30.
English descriptors
Abstract
We propose a new method to recognize monetary amounts printed by checkwriters. We applied a character segmentation method robust to noise and a bottom‐up parsing for postprocessing. In the proposed method, the input image is segmented both horizontally and vertically in the presegmentation step. A context‐free grammar describes the linguistic constraints in the monetary amounts. We devised a new bottom‐up parsing technique that interprets the results of character classification. We tested the validity of the new method using 1314 images. The correct ratio was 72.7%, which is 8.4 points higher than that of the conventional method. © 2004 Wiley Periodicals, Inc. Syst Comp Jpn, 35(7): 49–60, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10616
Url:
DOI: 10.1002/scj.10616
Affiliations:
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Jpn.</title><idno type="ISSN">0882-1666</idno><idno type="eISSN">1520-684X</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2004-06-30">2004-06-30</date><biblScope unit="volume">35</biblScope><biblScope unit="issue">7</biblScope><biblScope unit="page" from="49">49</biblScope><biblScope unit="page" to="60">60</biblScope></imprint><idno type="ISSN">0882-1666</idno></series><idno type="istex">1951579A42683A371AA95172150B4BF8AC1F0E78</idno><idno type="DOI">10.1002/scj.10616</idno><idno type="ArticleID">SCJ10616</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0882-1666</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>CYK algorithm</term><term>OCR</term><term>bottom‐up parsing</term><term>character segmentation</term><term>context‐free grammar</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We propose a new method to recognize monetary amounts printed by checkwriters. We applied a character segmentation method robust to noise and a bottom‐up parsing for postprocessing. In the proposed method, the input image is segmented both horizontally and vertically in the presegmentation step. A context‐free grammar describes the linguistic constraints in the monetary amounts. We devised a new bottom‐up parsing technique that interprets the results of character classification. We tested the validity of the new method using 1314 images. The correct ratio was 72.7%, which is 8.4 points higher than that of the conventional method. © 2004 Wiley Periodicals, Inc. Syst Comp Jpn, 35(7): 49–60, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). 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