Intelligent region-based thresholding for color document images with highlighted regions
Identifieur interne : 000311 ( Main/Exploration ); précédent : 000310; suivant : 000312Intelligent region-based thresholding for color document images with highlighted regions
Auteurs : Chun-Ming Tsai [Taïwan]Source :
- Pattern recognition [ 0031-3203 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
The study applies an intelligent region-based thresholding method for the binarization of color document images with highlighted regions. The results also indicate that the proposed method can threshold simultaneously when the background is gradually changing, reversed, or inseparable from the foreground, with efficient binarization results. Rather than the traditional method of scanning the entire document at least once, this method intelligently divides a document image into several foreground regions and decides the background range for each foreground region, in order to effectively process the detected document regions. Experimental results demonstrate the high effectiveness of the proposed method in providing promising binarization results with low computational cost. Furthermore, the results of the proposed method are more accurate than global, region-based, local, and hybrid methods. Images were analyzed using MODI OCR measurement data such as recall rate and precision rate. In particular, when test images produced under inadequate illumination are processed using the proposed method, the binarization results of this method have better visual quality and better measurable OCR performance than compared global, region-based, local, and hybrid methods. Moreover, the proposed algorithm can be run in an embedded system due to its simplicity and efficiency.
Affiliations:
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Le document en format XML
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Road</s1><s2>Taipei 100</s2><s3>TWN</s3><sZ>1 aut.</sZ></inist:fA14><country>Taïwan</country><wicri:noRegion>Taipei 100</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">12-0135276</idno><date when="2012">2012</date><idno type="stanalyst">PASCAL 12-0135276 INIST</idno><idno type="RBID">Pascal:12-0135276</idno><idno type="wicri:Area/PascalFrancis/Corpus">000099</idno><idno type="wicri:Area/PascalFrancis/Curation">000673</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000073</idno><idno type="wicri:doubleKey">0031-3203:2012:Tsai C:intelligent:region:based</idno><idno type="wicri:Area/Main/Merge">000314</idno><idno type="wicri:Area/Main/Curation">000311</idno><idno type="wicri:Area/Main/Exploration">000311</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Intelligent region-based thresholding for color document images with highlighted regions</title><author><name sortKey="Tsai, Chun Ming" sort="Tsai, Chun Ming" uniqKey="Tsai C" first="Chun-Ming" last="Tsai">Chun-Ming Tsai</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Computer Science, Taipei Municipal University of Education, No. 1, Ai-Kuo W. Road</s1><s2>Taipei 100</s2><s3>TWN</s3><sZ>1 aut.</sZ></inist:fA14><country>Taïwan</country><wicri:noRegion>Taipei 100</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Pattern recognition</title><title level="j" type="abbreviated">Pattern recogn.</title><idno type="ISSN">0031-3203</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Pattern recognition</title><title level="j" type="abbreviated">Pattern recogn.</title><idno type="ISSN">0031-3203</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithm</term><term>Background</term><term>Color image</term><term>Computational complexity</term><term>Cost lowering</term><term>Document image processing</term><term>Embedded systems</term><term>Foreground</term><term>Illumination</term><term>Image quality</term><term>Optical character recognition</term><term>Pattern recognition</term><term>Performance evaluation</term><term>Threshold detection</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Détection seuil</term><term>Image couleur</term><term>Traitement image document</term><term>Evaluation performance</term><term>Diminution coût</term><term>Complexité calcul</term><term>Reconnaissance optique caractère</term><term>Eclairement</term><term>Qualité image</term><term>Algorithme</term><term>Système embarqué</term><term>Reconnaissance forme</term><term>Arrière plan</term><term>Avant plan</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The study applies an intelligent region-based thresholding method for the binarization of color document images with highlighted regions. The results also indicate that the proposed method can threshold simultaneously when the background is gradually changing, reversed, or inseparable from the foreground, with efficient binarization results. Rather than the traditional method of scanning the entire document at least once, this method intelligently divides a document image into several foreground regions and decides the background range for each foreground region, in order to effectively process the detected document regions. Experimental results demonstrate the high effectiveness of the proposed method in providing promising binarization results with low computational cost. Furthermore, the results of the proposed method are more accurate than global, region-based, local, and hybrid methods. Images were analyzed using MODI OCR measurement data such as recall rate and precision rate. In particular, when test images produced under inadequate illumination are processed using the proposed method, the binarization results of this method have better visual quality and better measurable OCR performance than compared global, region-based, local, and hybrid methods. Moreover, the proposed algorithm can be run in an embedded system due to its simplicity and efficiency.</div></front></TEI><affiliations><list><country><li>Taïwan</li></country></list><tree><country name="Taïwan"><noRegion><name sortKey="Tsai, Chun Ming" sort="Tsai, Chun Ming" uniqKey="Tsai C" first="Chun-Ming" last="Tsai">Chun-Ming Tsai</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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