• DocumentCode
    2504284
  • Title

    Bangla and English City Name Recognition for Indian Postal Automation

  • Author

    Pal, Umapada ; Roy, Ramit Kumar ; Kimura, Fumitaka

  • Author_Institution
    Comput. Vision & Pattern Recognition Unit, Indian Stat. Inst., Kolkata, India
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    1985
  • Lastpage
    1988
  • 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.
  • Keywords
    document handling; handwriting recognition; natural language processing; postal services; statistical analysis; Bangla language; English language; Indian postal automation; Indian postal document; lexicon driven bilingual city name recognition scheme; multilingual behavior; postal document; statistical analysis; Automation; Cavity resonators; Cities and towns; Dynamic programming; Feature extraction; Handwriting recognition; Image segmentation; Bangla script; City name recognition; Handwriting recognition; Indian postal automation; Multi-script document recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.489
  • Filename
    5597265