An approach to offline handwritten Devanagari word segmentation
Identifieur interne : 000325 ( Main/Exploration ); précédent : 000324; suivant : 000326An approach to offline handwritten Devanagari word segmentation
Auteurs : O. V. Ramana Murthy [Inde] ; M. Hanmandlu [Inde]Source :
- International journal of computer applications in technology [ 0952-8091 ] ; 2012.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Linguistique.
English descriptors
- KwdEn :
Abstract
Hindi is very popular language after Mandarin and English. Its script is Devanagari. Although major work is reported on OCR techniques for machine printed Devanagari script, very few works are beginning to report on offline handwritten Devanagari OCR. Particularly, very few works have been reported so far, on segmentation of Devanagari words. This paper paves a step in that direction and open avenues for researchers in that field. A novel segmentation approach is proposed for segmentation of offline handwritten Devanagari words using techniques of Hough transform and connected components. The difficulties for segmentation in Devanagari script and systematic steps to accommodate those difficulties as much as possible have been presented with elaborate results.
Affiliations:
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Le document en format XML
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Hanmandlu</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Electrical Engineering</s1><s2>IIT Delhi</s2><s3>IND</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Inde</country><wicri:noRegion>Department of Electrical Engineering</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">13-0071293</idno><date when="2012">2012</date><idno type="stanalyst">PASCAL 13-0071293 INIST</idno><idno type="RBID">Pascal:13-0071293</idno><idno type="wicri:Area/PascalFrancis/Corpus">000061</idno><idno type="wicri:Area/PascalFrancis/Curation">000707</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000087</idno><idno type="wicri:doubleKey">0952-8091:2012:Ramana Murthy O:an:approach:to</idno><idno type="wicri:Area/Main/Merge">000328</idno><idno type="wicri:Area/Main/Curation">000325</idno><idno type="wicri:Area/Main/Exploration">000325</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">An approach to offline handwritten Devanagari word segmentation</title><author><name sortKey="Ramana Murthy, O V" sort="Ramana Murthy, O V" uniqKey="Ramana Murthy O" first="O. V." last="Ramana Murthy">O. V. Ramana Murthy</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Electrical Engineering</s1><s2>IIT Delhi</s2><s3>IND</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Inde</country><wicri:noRegion>Department of Electrical Engineering</wicri:noRegion></affiliation></author><author><name sortKey="Hanmandlu, M" sort="Hanmandlu, M" uniqKey="Hanmandlu M" first="M." last="Hanmandlu">M. Hanmandlu</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Electrical Engineering</s1><s2>IIT Delhi</s2><s3>IND</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Inde</country><wicri:noRegion>Department of Electrical Engineering</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">International journal of computer applications in technology</title><title level="j" type="abbreviated">Int. j. comput. appl. technol.</title><idno type="ISSN">0952-8091</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">International journal of computer applications in technology</title><title level="j" type="abbreviated">Int. j. comput. appl. technol.</title><idno type="ISSN">0952-8091</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Character recognition</term><term>Hough transformation</term><term>Linguistics</term><term>Manuscript character</term><term>Natural language</term><term>Optical character recognition</term><term>Segmentation</term><term>Typography</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Caractère manuscrit</term><term>Linguistique</term><term>Langage naturel</term><term>Reconnaissance caractère</term><term>Reconnaissance optique caractère</term><term>Typographie</term><term>Segmentation</term><term>Transformation Hough</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Linguistique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Hindi is very popular language after Mandarin and English. Its script is Devanagari. Although major work is reported on OCR techniques for machine printed Devanagari script, very few works are beginning to report on offline handwritten Devanagari OCR. Particularly, very few works have been reported so far, on segmentation of Devanagari words. This paper paves a step in that direction and open avenues for researchers in that field. A novel segmentation approach is proposed for segmentation of offline handwritten Devanagari words using techniques of Hough transform and connected components. The difficulties for segmentation in Devanagari script and systematic steps to accommodate those difficulties as much as possible have been presented with elaborate results.</div></front></TEI><affiliations><list><country><li>Inde</li></country></list><tree><country name="Inde"><noRegion><name sortKey="Ramana Murthy, O V" sort="Ramana Murthy, O V" uniqKey="Ramana Murthy O" first="O. V." last="Ramana Murthy">O. V. Ramana Murthy</name></noRegion><name sortKey="Hanmandlu, M" sort="Hanmandlu, M" uniqKey="Hanmandlu M" first="M." last="Hanmandlu">M. Hanmandlu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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