A SYSTEM FOR RECOGNITION OF DESTINATION ADDRESS IN POSTAL DOCUMENTS OF INDIA

被引:2
|
作者
Roy, Ramit Kumar [1 ]
Pal, Umapada [2 ]
Roy, Kaushik [3 ]
Kimura, Fumitaka [4 ]
机构
[1] St Xaviers Coll Autonomous, Kolkata, India
[2] ISI, CVPR Unit, Kolkata, India
[3] WBSU, Dept Comp Sc, Barasat, India
[4] Mie Univ, Grad Sch Engn, Tsu, Mie, Japan
关键词
Destination Address; Indian script recognition; Indian Pin code recognition; Document analysis; Lexicon information; CITY-NAME RECOGNITION; WRITTEN; BANGLA;
D O I
10.22452/mjcs.vol33no3.3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recognition of destination address is compulsory for automation of the postal system in India. Our observation found that such recognition becomes a very challenging task due to inter-mixing of three languages (Hindi, English and the official language of the particular state in which the postal document is supposed to reach).In this paper, our attempt towards development of a dynamic programming based system for city-name and pin code recognition of destination address in postal documents of India not only managed to address the difficulties related to identification of the scripts but also managed to get rid of those problems which is generated due to character touching in postal documents. For city-name recognition, lexicon information is used. However, no lexicon information is used for pin code recognition since an Indian pin code contains only 6 digits. We obtained 99.55% reliability from tri-lingual city-name recognition system where error rates are 0.20% and rejection rates are 28.11%. From our experiment on recognition of handwritten pin codes, 99.01% reliability rate, 0.83% error rate and15.27% rejection rate are obtained. Furthermore, to enhance the city-name results by distributing the lexicon size district-wise, we conducted an experiment and presented the results.
引用
收藏
页码:202 / 216
页数:15
相关论文
共 50 条
  • [31] Handwritten Bangla numeral recognition system and its application to postal automation
    Wen, Ying
    Lu, Yue
    Shi, Pengfei
    PATTERN RECOGNITION, 2007, 40 (01) : 99 - 107
  • [32] New formats for postal Destination and ID-Tag barcodes
    Nakamura, K
    Kamiya, N
    Okamura, T
    Matsuda, Y
    NEC RESEARCH & DEVELOPMENT, 1999, 40 (02): : 152 - 158
  • [33] INDIA - RETAILING - DESTINATION
    Reddy, K. Vijaya Sekhar
    Rajesh, B.
    Rao, N. Venkat
    2017 7TH IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2017, : 939 - 942
  • [34] Quality evaluation of postal address datasets measuring their autocorrelation
    Rezayan, Hani
    Sadidi, Javad
    Hosseini, Vahid
    GEOJOURNAL, 2019, 84 (06) : 1617 - 1625
  • [35] Quality evaluation of postal address datasets measuring their autocorrelation
    Hani Rezayan
    Javad Sadidi
    Vahid Hosseini
    GeoJournal, 2019, 84 : 1617 - 1625
  • [36] AUTOMATION OF INDIAN POSTAL DOCUMENTS WRITTEN IN BANGLA AND ENGLISH
    Vajda, S.
    Roy, K.
    Pal, U.
    Chaudhuri, B. B.
    Belaid, A.
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2009, 23 (08) : 1599 - 1632
  • [37] An integrated system for the analysis and the recognition of characters in ancient documents
    Vezzosi, S
    Bedini, L
    Tonazzini, A
    DOCUMENT ANALYSIS SYSTEM V, PROCEEDINGS, 2002, 2423 : 49 - 52
  • [38] Document Recognition and Translation System for Unconstrained Arabic Documents
    Cao, Huaigu
    Chen, Jinying
    Devlin, Jacob
    Prasad, Rohit
    Natarajan, Prem
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 318 - 321
  • [39] Postal address extraction from the web: a comprehensive survey
    Kayed, Mohammed
    Dakrory, Sara
    Ali, A. A.
    ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (02) : 1085 - 1120
  • [40] POSTAL ADDRESS BLOCK LOCATION IN REAL-TIME
    PALUMBO, PW
    SRIHARI, SN
    SOH, J
    SRIDHAR, R
    DEMJANENKO, V
    COMPUTER, 1992, 25 (07) : 34 - 42