Improvement of “integrated function algorithm” for binarization of document images
Identifieur interne : 000771 ( Istex/Corpus ); précédent : 000770; suivant : 000772Improvement of “integrated function algorithm” for binarization of document images
Auteurs : Ivind Due Trier ; Torfinn TaxtSource :
- Pattern Recognition Letters [ 0167-8655 ] ; 1995.
Abstract
In this paper, White and Rohrer's “Integrated Function Algorithm” (1983) for binarization of gray level document images is improved. This is achieved by smoothing, a new print pixel identification strategy, and a postprocessing step removing false print objects.
Url:
DOI: 10.1016/0167-8655(94)00101-8
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Box 1080 Blindern, N-0316 Oslo, Norway</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:F12ED99B19FA90365C865697D96E000E55C955AE</idno><date when="1995" year="1995">1995</date><idno type="doi">10.1016/0167-8655(94)00101-8</idno><idno type="url">https://api.istex.fr/document/F12ED99B19FA90365C865697D96E000E55C955AE/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000771</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000771</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Improvement of “integrated function algorithm” for binarization of document images</title><author><name sortKey="Due Trier, Ivind" sort="Due Trier, Ivind" uniqKey="Due Trier " first=" Ivind" last="Due Trier"> Ivind Due Trier</name><affiliation><mods:affiliation>University of Oslo, Department of Informatics, P.O. 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Conf. on Pattern Recognition</title></host><title>Dynamic thresholding of grey-level images</title></json:item><json:item><author><json:item><name>L. Eikvil</name></json:item><json:item><name>T. Taxt</name></json:item><json:item><name>K. Moen</name></json:item></author><host><pages><last>443</last><first>435</first></pages><author></author><title>Proc. First Internat. Conf. on Document Analysis and Recognition</title></host><title>A fast adaptive method for binarization of document images</title></json:item><json:item><host><author></author><title>Digital Image Processing</title></host></json:item><json:item><author><json:item><name>J.N. Kapur</name></json:item><json:item><name>P.K. Sahoo</name></json:item><json:item><name>A.K.C. Wong</name></json:item></author><host><volume>29</volume><pages><last>285</last><first>273</first></pages><author></author><title>Computer Vision, Graphics and Image Processing</title></host><title>A new method for gray-level picture thresholding using the entropy of the histogram</title></json:item><json:item><author><json:item><name>T. Kurita</name></json:item><json:item><name>N. Otsu</name></json:item><json:item><name>N. Abdelmalek</name></json:item></author><host><volume>25</volume><pages><last>1240</last><first>1231</first></pages><author></author><title>Pattern Recognition</title></host><title>Maximum likelihood thresholding based on population mixture models</title></json:item><json:item><author><json:item><name>W. Niblack</name></json:item></author><host><pages><last>116</last><first>115</first></pages><author></author></host><title>An Introduction to Digital Image Processing</title></json:item><json:item><author><json:item><name>W.K. Pratt</name></json:item></author><host><pages><last>504</last><first>501</first></pages><author></author></host><title>Digital Image Processing</title></json:item><json:item><author><json:item><name>Ø.D. Trier</name></json:item><json:item><name>T. Taxt</name></json:item></author><host><author></author><title>IEEE Trans. Pattern Anal. Mach. Intell.</title></host><title>Evaluation of binarization methods for utility map images</title></json:item><json:item><author><json:item><name>J.M. Westall</name></json:item><json:item><name>M.S. Narasimha</name></json:item></author><host><volume>26</volume><pages><last>1486</last><first>1473</first></pages><author></author><title>Pattern Recognition</title></host><title>Vertex directed segmentation of handwritten numerals</title></json:item><json:item><author><json:item><name>J.M. White</name></json:item><json:item><name>G.D. 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Box 1080 Blindern, N-0316 Oslo, Norway</affiliation></author><author xml:id="author-2"><persName><forename type="first">Torfinn</forename><surname>Taxt</surname></persName><affiliation>University of Oslo, Department of Informatics, P.O. 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Box 1080 Blindern, N-0316 Oslo, Norway</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>∗</ce:label><ce:text>Corresponding author.</ce:text></ce:correspondence></ce:author-group><ce:date-received day="16" month="9" year="1993"></ce:date-received><ce:date-revised day="7" month="10" year="1994"></ce:date-revised><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>In this paper, White and Rohrer's “Integrated Function Algorithm” (1983) for binarization of gray level document images is improved. This is achieved by smoothing, a new print pixel identification strategy, and a postprocessing step removing false print objects.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Binarization</ce:text></ce:keyword><ce:keyword><ce:text>Segmentation</ce:text></ce:keyword><ce:keyword><ce:text>Locally adaptive thresholding</ce:text></ce:keyword><ce:keyword><ce:text>Document images</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Improvement of “integrated function algorithm” for binarization of document images</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Improvement of “integrated function algorithm” for binarization of document images</title></titleInfo><name type="personal"><namePart type="given">Øivind</namePart><namePart type="family">Due Trier</namePart><affiliation>University of Oslo, Department of Informatics, P.O. Box 1080 Blindern, N-0316 Oslo, Norway</affiliation><affiliation>E-mail: trier@ifi.uio.no</affiliation><description>Corresponding author.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Torfinn</namePart><namePart type="family">Taxt</namePart><affiliation>University of Oslo, Department of Informatics, P.O. 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This is achieved by smoothing, a new print pixel identification strategy, and a postprocessing step removing false print objects.</abstract><subject><genre>Keywords</genre><topic>Binarization</topic><topic>Segmentation</topic><topic>Locally adaptive thresholding</topic><topic>Document images</topic></subject><relatedItem type="host"><titleInfo><title>Pattern Recognition Letters</title></titleInfo><titleInfo type="abbreviated"><title>PATREC</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199503</dateIssued></originInfo><identifier type="ISSN">0167-8655</identifier><identifier type="PII">S0167-8655(00)X0020-7</identifier><part><date>199503</date><detail type="volume"><number>16</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>225</start><end>331</end></extent><extent unit="pages"><start>277</start><end>283</end></extent></part></relatedItem><identifier type="istex">F12ED99B19FA90365C865697D96E000E55C955AE</identifier><identifier type="DOI">10.1016/0167-8655(94)00101-8</identifier><identifier type="PII">0167-8655(94)00101-8</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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