research-article

Control Structure for Interpreting Handwritten Addresses

Authors:

Edward Cohen,

Jonathan J. Hull,

Sargur N. SrihariAuthors Info & Claims

IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 16, Issue 10

Pages 1049 - 1055

https://doi.org/10.1109/34.329003

Published: 01 October 1994 Publication History

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Abstract

Describes the control structure for an intelligent handwritten address interpretation system. The system takes a grey-level address image, segments the address into lines and words, parses the address into meaningful syntactic categories, recognizes words using dynamically generated lexicons, and determines the destination code with the aid of postal directories.

References

[1]

{1} E. Cohen, "Interpreting handwritten text in a constrained domain," Tech. Rep. 92-06, State Univ. of New York at Buffalo, Feb. 1992.

Google Scholar

[2]

{2} E. Cohen, J. J. Hull, and S. N. Srihari, "Understanding handwritten text in a structured environment: Determining zip codes from addresses," in Character and Hundwriting Recognition: Expanding Frontiers, P. S. P. Wang, Ed. Singapore: World Scientific, 1991, pp. 221-264.

Google Scholar

[3]

{3} N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst., Man Cybern., vol. SMC-9, no. 1, pp. 63-66, Jan. 1979.

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Cited By

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Fernández-Mota DLladós JFornés A(2018)A graph-based approach for segmenting touching lines in historical handwritten documentsInternational Journal on Document Analysis and Recognition10.1007/s10032-014-0220-017:3(293-312)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1007/s10032-014-0220-0
Vinciarelli ABengio SBunke H(2004)Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2004.1426:6(709-720)Online publication date: 1-Jun-2004
https://dl.acm.org/doi/10.1109/TPAMI.2004.14
Park J(2002)An Adaptive Approach to Offline Handwritten Word RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2002.101761924:7(920-931)Online publication date: 1-Jul-2002
https://dl.acm.org/doi/10.1109/TPAMI.2002.1017619
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Index Terms

Control Structure for Interpreting Handwritten Addresses
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
    2. Natural language processing
      1. Language resources

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cover image IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 16, Issue 10

October 1994

99 pages

ISSN:0162-8828

Editor:
Anil K. Jain
Michigan State Univ., East Lansing

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IEEE Computer Society

United States

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Published: 01 October 1994

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Fernández-Mota DLladós JFornés A(2018)A graph-based approach for segmenting touching lines in historical handwritten documentsInternational Journal on Document Analysis and Recognition10.1007/s10032-014-0220-017:3(293-312)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1007/s10032-014-0220-0
Vinciarelli ABengio SBunke H(2004)Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2004.1426:6(709-720)Online publication date: 1-Jun-2004
https://dl.acm.org/doi/10.1109/TPAMI.2004.14
Park J(2002)An Adaptive Approach to Offline Handwritten Word RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2002.101761924:7(920-931)Online publication date: 1-Jul-2002
https://dl.acm.org/doi/10.1109/TPAMI.2002.1017619
Nagy G(2000)Twenty Years of Document Image Analysis in PAMIIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.82482022:1(38-62)Online publication date: 1-Jan-2000
https://dl.acm.org/doi/10.1109/34.824820
Kim GGovindaraju V(1997)A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time ApplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.58801719:4(366-379)Online publication date: 1-Apr-1997
https://dl.acm.org/doi/10.1109/34.588017

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A new system for reading handwritten zip codes

Parallel hardware implementation of handwritten character recognition system on wavefront array processor architecture

A probabilistic approach to automatic handwritten address reading

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