A System for Indian Postal Automation
Identifieur interne : 004717 ( Hal/Checkpoint ); précédent : 004716; suivant : 004718A System for Indian Postal Automation
Auteurs : Kaushik Roy [Inde] ; Szilárd Vajda [France] ; Umapada Pal [Inde] ; Bidyut Baran Chaudhuri [Inde] ; Abdel Belaïd [France]Source :
English descriptors
Abstract
In this paper, we present a system towards Indian postal automation based on pin-code and city name information. In the proposed system, at first, non-text blocks (postal stamp, postal seal etc.) are detected and destination address block (DAB) is identified from the postal document. Next, lines and words of the DAB are segmented. Since India is a multi-lingual and multi-script country that was earlier colonized by UK, the address part may be written by combination of two scripts: Latin (English) and a local (state) script. Here we shall consider Bangla script (local state language) with English for recognition. It is very difficult to identify the script by which the pin-code portion is written. So we have used two-stage artificial neural network based general classifiers for the recognition of pin-code digits written in English/Bangla. To identify the script by which a word/city name is written, we propose a water reservoir based technique. Based on script identification result the city names on the corresponding script will be recognized. For recognition of city names we propose a NSHP-HMM (Non-Symmetric Half Plane-Hidden Markov Model) based technique. At present, the accuracy of the digit recognition module is 93.14% while that of city name recognition scheme is about 86.44%.
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models</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we present a system towards Indian postal automation based on pin-code and city name information. In the proposed system, at first, non-text blocks (postal stamp, postal seal etc.) are detected and destination address block (DAB) is identified from the postal document. Next, lines and words of the DAB are segmented. Since India is a multi-lingual and multi-script country that was earlier colonized by UK, the address part may be written by combination of two scripts: Latin (English) and a local (state) script. Here we shall consider Bangla script (local state language) with English for recognition. It is very difficult to identify the script by which the pin-code portion is written. So we have used two-stage artificial neural network based general classifiers for the recognition of pin-code digits written in English/Bangla. To identify the script by which a word/city name is written, we propose a water reservoir based technique. Based on script identification result the city names on the corresponding script will be recognized. For recognition of city names we propose a NSHP-HMM (Non-Symmetric Half Plane-Hidden Markov Model) based technique. At present, the accuracy of the digit recognition module is 93.14% while that of city name recognition scheme is about 86.44%.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">A System for Indian Postal Automation</title><author role="aut"><persName><forename type="first">Kaushik</forename><surname>Roy</surname></persName><email></email><idno type="halauthor">52803</idno><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Szilárd</forename><surname>Vajda</surname></persName><email></email><idno type="halauthor">52804</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Umapada</forename><surname>Pal</surname></persName><email></email><idno type="halauthor">52805</idno><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Bidyut</forename><surname>Baran Chaudhuri</surname></persName><email></email><idno type="halauthor">52806</idno><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email></email><idno type="halauthor">52807</idno><affiliation ref="#struct-2362"></affiliation></author><editor role="depositor"><persName><forename>Szilard</forename><surname>Vajda</surname></persName><email>vajda@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-06-09 11:07:50</date><date type="whenModified">2016-05-19 01:05:39</date><date type="whenReleased">2005-06-09 15:12:37</date><date type="whenProduced">2005-03-08</date><date type="whenEndEmbargoed">9999-12-31</date><ref type="file" target="https://hal.inria.fr/inria-00000103/document"><date notBefore="9999-12-31"></date></ref><ref type="file" n="1" target="https://hal.inria.fr/inria-00000103/file/roy_vajda.pdf"><date notBefore="9999-12-31"></date></ref></edition><respStmt><resp>contributor</resp><name key="102580"><persName><forename>Szilard</forename><surname>Vajda</surname></persName><email>vajda@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00000103</idno><idno type="halUri">https://hal.inria.fr/inria-00000103</idno><idno type="halBibtex">roy:inria-00000103</idno><idno type="halRefHtml">Umapada Pal, Swapan K. Parui, Bidyut B. Chaudhuri. International Workshop on Document Analysis, Mar 2005, Kolkata, India, Allied Publishers Pvt. Ltd., 2005</idno><idno type="halRef">Umapada Pal, Swapan K. Parui, Bidyut B. Chaudhuri. International Workshop on Document Analysis, Mar 2005, Kolkata, India, Allied Publishers Pvt. Ltd., 2005</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="audience" n="1">Not set</note><note type="invited" n="1">Yes</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A System for Indian Postal Automation</title><author role="aut"><persName><forename type="first">Kaushik</forename><surname>Roy</surname></persName><idno type="halAuthorId">52803</idno><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Szilárd</forename><surname>Vajda</surname></persName><idno type="halAuthorId">52804</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Umapada</forename><surname>Pal</surname></persName><idno type="halAuthorId">52805</idno><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Bidyut</forename><surname>Baran Chaudhuri</surname></persName><idno type="halAuthorId">52806</idno><affiliation ref="#struct-7209"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><idno type="halAuthorId">52807</idno><affiliation ref="#struct-2362"></affiliation></author></analytic><monogr><meeting><title>International Workshop on Document Analysis</title><date type="start">2005-03-08</date><settlement>Kolkata, India</settlement></meeting><respStmt><resp>conferenceOrganizer</resp><name>Umapada Pal</name></respStmt><editor>Umapada Pal, Swapan K. Parui, Bidyut B. Chaudhuri</editor><imprint><publisher>Allied Publishers Pvt. Ltd.</publisher><date type="datePub">2005-03-08</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">neural networks</term><term xml:lang="en">stochastic models</term><term xml:lang="en">handwriting recognition</term><term xml:lang="en">postal automation</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halDomain" n="info.info-lg">Computer Science [cs]/Machine Learning [cs.LG]</classCode><classCode scheme="halDomain" n="info.info-ne">Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">In this paper, we present a system towards Indian postal automation based on pin-code and city name information. In the proposed system, at first, non-text blocks (postal stamp, postal seal etc.) are detected and destination address block (DAB) is identified from the postal document. Next, lines and words of the DAB are segmented. Since India is a multi-lingual and multi-script country that was earlier colonized by UK, the address part may be written by combination of two scripts: Latin (English) and a local (state) script. Here we shall consider Bangla script (local state language) with English for recognition. It is very difficult to identify the script by which the pin-code portion is written. So we have used two-stage artificial neural network based general classifiers for the recognition of pin-code digits written in English/Bangla. To identify the script by which a word/city name is written, we propose a water reservoir based technique. Based on script identification result the city names on the corresponding script will be recognized. For recognition of city names we propose a NSHP-HMM (Non-Symmetric Half Plane-Hidden Markov Model) based technique. At present, the accuracy of the digit recognition module is 93.14% while that of city name recognition scheme is about 86.44%.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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