Touching Numeral Segmentation Using Water Reservoir Concept
Identifieur interne : 005336 ( Hal/Checkpoint ); précédent : 005335; suivant : 005337Touching Numeral Segmentation Using Water Reservoir Concept
Auteurs : Umapada Pal [Inde] ; Abdel Belaïd [France] ; Christophe Choisy [France]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 2003.
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Abstract
This paper deals with a new technique for automatic segmentation of unconstrained handwritten connected numerals. To take care of variability involved in the writing style of different individuals a robust scheme is presented here. The scheme is mainly based on features obtained from a concept based on water reservoir. A reservoir is a metaphor to illustrate the region where numerals touch. Reservoir is obtained by considering accumulation of water poured from the top or from the bottom of the numerals. At first, considering reservoir location and size, touching position (top, middle or bottom) is decided. Next, analyzing the reservoir boundary, touching position and topological features of the touching pattern, the best cutting point is determined. Finally, combined with morphological structural features the cutting path for segmentation is generated. The proposed scheme is tested on French bank check data and an accuracy about 94.8% is obtained from the system.
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type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic><series><title level="j">Pattern Recognition Letters</title><idno type="ISSN">0167-8655</idno><imprint><date type="datePub">2003</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>chiffres manuscrits</term><term>handwritten numerals</term><term>numeral segmentation</term><term>réservoir d'eau</term><term>segmentation de chiffres</term><term>water reservoir</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper deals with a new technique for automatic segmentation of unconstrained handwritten connected numerals. To take care of variability involved in the writing style of different individuals a robust scheme is presented here. The scheme is mainly based on features obtained from a concept based on water reservoir. A reservoir is a metaphor to illustrate the region where numerals touch. Reservoir is obtained by considering accumulation of water poured from the top or from the bottom of the numerals. At first, considering reservoir location and size, touching position (top, middle or bottom) is decided. Next, analyzing the reservoir boundary, touching position and topological features of the touching pattern, the best cutting point is determined. Finally, combined with morphological structural features the cutting path for segmentation is generated. The proposed scheme is tested on French bank check data and an accuracy about 94.8% is obtained from the system.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Touching Numeral Segmentation Using Water Reservoir Concept</title><author role="aut"><persName><forename type="first">Umapada</forename><surname>Pal</surname></persName><email></email><idno type="halauthor">130722</idno><orgName ref="#struct-364768"></orgName><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email>abelaid@loria.fr</email><idno type="halauthor">130615</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Christophe</forename><surname>Choisy</surname></persName><email>Choisy@loria.fr</email><idno type="halauthor">181716</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 09:38:20</date><date type="whenModified">2016-05-19 01:05:35</date><date type="whenReleased">2006-09-28 15:22:46</date><date type="whenProduced">2003</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00099525</idno><idno type="halUri">https://hal.inria.fr/inria-00099525</idno><idno type="halBibtex">pal:inria-00099525</idno><idno type="halRefHtml">Pattern Recognition Letters, Elsevier, 2003, 24 (1-3), pp.261-272</idno><idno type="halRef">Pattern Recognition Letters, Elsevier, 2003, 24 (1-3), pp.261-272</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno></seriesStmt><notesStmt><note type="commentary">Article dans revue scientifique avec comité de lecture.</note><note type="audience" n="1">Not set</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Touching Numeral Segmentation Using Water Reservoir Concept</title><author role="aut"><persName><forename type="first">Umapada</forename><surname>Pal</surname></persName><idno type="halAuthorId">130722</idno><orgName ref="#struct-364768"></orgName><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email>abelaid@loria.fr</email><idno type="halAuthorId">130615</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Christophe</forename><surname>Choisy</surname></persName><email>Choisy@loria.fr</email><idno type="halAuthorId">181716</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2362"></affiliation></author></analytic><monogr><idno type="localRef">A02-R-382 || pal02a</idno><idno type="halJournalId" status="VALID">17800</idno><idno type="issn">0167-8655</idno><title level="j">Pattern Recognition Letters</title><imprint><publisher>Elsevier</publisher><biblScope unit="volume">24</biblScope><biblScope unit="issue">1-3</biblScope><biblScope unit="pp">261-272</biblScope><date type="datePub">2003</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">chiffres manuscrits</term><term xml:lang="en">handwritten numerals</term><term xml:lang="en">water reservoir</term><term xml:lang="en">numeral segmentation</term><term xml:lang="en">segmentation de chiffres</term><term xml:lang="en">réservoir d'eau</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="ART">Journal articles</classCode></textClass><abstract xml:lang="en">This paper deals with a new technique for automatic segmentation of unconstrained handwritten connected numerals. To take care of variability involved in the writing style of different individuals a robust scheme is presented here. The scheme is mainly based on features obtained from a concept based on water reservoir. A reservoir is a metaphor to illustrate the region where numerals touch. Reservoir is obtained by considering accumulation of water poured from the top or from the bottom of the numerals. At first, considering reservoir location and size, touching position (top, middle or bottom) is decided. Next, analyzing the reservoir boundary, touching position and topological features of the touching pattern, the best cutting point is determined. Finally, combined with morphological structural features the cutting path for segmentation is generated. The proposed scheme is tested on French bank check data and an accuracy about 94.8% is obtained from the system.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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