Automatic detection of change in address blocks for reply forms processing

Keerambur Ramaswami Karthick, Stephen Marshall, Alison J. Gray, United Kingdom's Knowledge Transfer Partnership (KTP) Program (Funder)

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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In this paper, an automatic method to detect the presence of on-line erasures/scribbles/corrections/over-writing in the address block of various types of subscription and utility payment forms is presented. The proposed approach employs bottom-up segmentation of the address block. Heuristic rules based on structural features are used to automate the detection process. The algorithm is applied on a large dataset of 5,780 real world document forms of 200 dots per inch resolution. The proposed algorithm performs well with an average processing time of 108 milliseconds per document with a detection accuracy of 98.96%.
Original languageEnglish
Title of host publicationProceedings of IAENG International Conference on Imaging Engineering
Place of PublicationHong Kong
PublisherInternational Association of Engineers
Number of pages5
ISBN (Print)9789889867188
Publication statusPublished - 2008
EventInternational MultiConference of Engineers and Computer Scientists 2008 - Hong Kong, Hong Kong
Duration: 19 Mar 200821 Mar 2008


ConferenceInternational MultiConference of Engineers and Computer Scientists 2008
Abbreviated titleIMECS 2008
Country/TerritoryHong Kong
CityHong Kong
Internet address


  • offline scribble detection
  • document image analysis
  • document form processing
  • address correction detection


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