NDLI: A simple and novel adaptive binarization approach for handwritten documents

Content Provider	IEEE Xplore Digital Library
Author	Panwar, S. Nain, N.
Copyright Year	2013
Description	Author affiliation: Malaviya Nat. Inst. of Technol., Jaipur, India (Panwar, S.; Nain, N.)
Abstract	Handwritten text recognition needs some preprocessing steps for better recognition. One of the preprocessing task is handwritten text document binarization. Several binarization approaches are proposed previously and several are widely used in handwritten text binarization but the choice of most appropriate binarization approach for handwritten document is a very difficult itself. In this paper, we propose an adaptive binarization approach which can handle both continuous and abrupt intensity variations across the lines as well as words for handwritten or printed document. Experiments found that, the proposed approach is very simple as it uses only addition operations with constant complexity, and it also gives competitive results for handwritten (printed) documents compared to standard binarization approaches.
Sponsorship	IEEE Gujarat Sect.
Starting Page	106
Ending Page	110
File Size	408011
Page Count	5
File Format	PDF
ISBN	9781479903160
e-ISBN	9781479903177
DOI	10.1109/ISSP.2013.6526884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Handwriting recognition Text recognition Preprocessing Adaptive Signal processing algorithms Signal processing Feature extraction Binarization Intelligent systems Handwritten text documents
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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