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Automatic detection of change in address blocks for reply forms processing

Karthick, K.R. and Marshall, S. and Gray, A.J. and , United Kingdom's Knowledge Transfer Partnership (KTP) Program (Funder) (2008) Automatic detection of change in address blocks for reply forms processing. [Proceedings Paper]

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    Abstract

    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%.

    Item type: Proceedings Paper
    ID code: 15262
    Keywords: offline scribble detection, document image analysis, document form processing, address correction detection, Mathematics, Engineering (General). Civil engineering (General)
    Subjects: Science > Mathematics
    Technology > Engineering (General). Civil engineering (General)
    Department: Faculty of Science > Mathematics and Statistics
    Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
    Depositing user: Mrs Ann Lynch
    Date Deposited: 04 Feb 2010 15:44
    Last modified: 20 Jul 2013 21:42
    URI: http://strathprints.strath.ac.uk/id/eprint/15262

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