Bangla and English City Name Recognition for Indian Postal Automation
Because of multi-lingual behavior destination address block of a postal document of an Indian state may be written in two or more scripts. From a statistical analysis of Indian postal document we noted that about 22.04% of Indian postal documents are written in two scripts. Because of inter-mixing o...
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| container_end_page | 1988 |
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| creator | Pal, Umapada Roy, Ramit Kumar Kimura, Fumitaka |
| description | Because of multi-lingual behavior destination address block of a postal document of an Indian state may be written in two or more scripts. From a statistical analysis of Indian postal document we noted that about 22.04% of Indian postal documents are written in two scripts. Because of inter-mixing of these scripts in postal address writings, it is very difficult to identify the script by which a city name is written. To avoid such identification difficulties, in this paper we proposed a lexicon-driven bi-lingual (English and Bangla) city name recognition scheme for Indian postal automation. We obtained 93.19% accuracy when tested on 11875 city name samples. |
| doi_str_mv | 10.1109/ICPR.2010.489 |
| format | Conference Proceeding |
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From a statistical analysis of Indian postal document we noted that about 22.04% of Indian postal documents are written in two scripts. Because of inter-mixing of these scripts in postal address writings, it is very difficult to identify the script by which a city name is written. To avoid such identification difficulties, in this paper we proposed a lexicon-driven bi-lingual (English and Bangla) city name recognition scheme for Indian postal automation. 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From a statistical analysis of Indian postal document we noted that about 22.04% of Indian postal documents are written in two scripts. Because of inter-mixing of these scripts in postal address writings, it is very difficult to identify the script by which a city name is written. To avoid such identification difficulties, in this paper we proposed a lexicon-driven bi-lingual (English and Bangla) city name recognition scheme for Indian postal automation. We obtained 93.19% accuracy when tested on 11875 city name samples.</description><subject>Automation</subject><subject>Bangla script</subject><subject>Cavity resonators</subject><subject>Cities and towns</subject><subject>City name recognition</subject><subject>Dynamic programming</subject><subject>Feature extraction</subject><subject>Handwriting recognition</subject><subject>Image segmentation</subject><subject>Indian postal automation</subject><subject>Multi-script document recognition</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>1424475422</isbn><isbn>9781424475421</isbn><isbn>9781424475414</isbn><isbn>9780769541099</isbn><isbn>1424475414</isbn><isbn>0769541097</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8tOwzAURM1LIpQsWbHxD6T4-vra8bJEASJVUFXdV07qFEt5oCQs-vekAlYzoyONdBh7ALEEEPapyDbbpRTzVKm9YLE1KSiplCEF6pJFMkVIzDyv2N0_kPKaRSAIEqUJblk8jqEUUhttiChi-bPrjo3jrjvwfG5h_ORZmE783bWeb33VH7swhb7jdT_wojsE1_FNP06u4avvqW_dGd6zm9o1o4__csF2L_kue0vWH69FtlonwYopkVg5ICgNaaVrdAotSMRKaO3rEozwwteojcAq9RpmO8RSW1JWGTvb4II9_t4G7_3-awitG057ImukJvwB1hpMvA</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Pal, Umapada</creator><creator>Roy, Ramit Kumar</creator><creator>Kimura, Fumitaka</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>Bangla and English City Name Recognition for Indian Postal Automation</title><author>Pal, Umapada ; Roy, Ramit Kumar ; Kimura, Fumitaka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-23ca151b75646f3a4391233c066efb170e0ef36703c8e6178133b695494794473</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Automation</topic><topic>Bangla script</topic><topic>Cavity resonators</topic><topic>Cities and towns</topic><topic>City name recognition</topic><topic>Dynamic programming</topic><topic>Feature extraction</topic><topic>Handwriting recognition</topic><topic>Image segmentation</topic><topic>Indian postal automation</topic><topic>Multi-script document recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Pal, Umapada</creatorcontrib><creatorcontrib>Roy, Ramit Kumar</creatorcontrib><creatorcontrib>Kimura, Fumitaka</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pal, Umapada</au><au>Roy, Ramit Kumar</au><au>Kimura, Fumitaka</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Bangla and English City Name Recognition for Indian Postal Automation</atitle><btitle>2010 20th International Conference on Pattern Recognition</btitle><stitle>ICPR</stitle><date>2010-08</date><risdate>2010</risdate><spage>1985</spage><epage>1988</epage><pages>1985-1988</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>1424475422</isbn><isbn>9781424475421</isbn><eisbn>9781424475414</eisbn><eisbn>9780769541099</eisbn><eisbn>1424475414</eisbn><eisbn>0769541097</eisbn><abstract>Because of multi-lingual behavior destination address block of a postal document of an Indian state may be written in two or more scripts. From a statistical analysis of Indian postal document we noted that about 22.04% of Indian postal documents are written in two scripts. Because of inter-mixing of these scripts in postal address writings, it is very difficult to identify the script by which a city name is written. To avoid such identification difficulties, in this paper we proposed a lexicon-driven bi-lingual (English and Bangla) city name recognition scheme for Indian postal automation. We obtained 93.19% accuracy when tested on 11875 city name samples.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2010.489</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2010 20th International Conference on Pattern Recognition, 2010, p.1985-1988 |
| issn | 1051-4651 2831-7475 |
| language | eng |
| recordid | cdi_ieee_primary_5597265 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automation Bangla script Cavity resonators Cities and towns City name recognition Dynamic programming Feature extraction Handwriting recognition Image segmentation Indian postal automation Multi-script document recognition |
| title | Bangla and English City Name Recognition for Indian Postal Automation |
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