Entry Sundaram:2013:AFB from talip.bib
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BibTeX entry
@Article{Sundaram:2013:AFB,
author = "Suresh Sundaram and A. G. Ramakrishnan",
title = "Attention-Feedback Based Robust Segmentation of Online
Handwritten Isolated {Tamil} Words",
journal = j-TALIP,
volume = "12",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2425327.2425331",
ISSN = "1530-0226 (print), 1558-3430 (electronic)",
ISSN-L = "1530-0226",
bibdate = "Sat Mar 2 09:25:42 MST 2013",
bibsource = "http://portal.acm.org/;
http://www.math.utah.edu/pub/tex/bib/talip.bib",
abstract = "In this article, we propose a lexicon-free,
script-dependent approach to segment online handwritten
isolated Tamil words into its constituent symbols. Our
proposed segmentation strategy comprises two modules,
namely the (1) Dominant Overlap Criterion Segmentation
(DOCS) module and (2) Attention Feedback Segmentation
(AFS) module. Based on a bounding box overlap criterion
in the DOCS module, the input word is first segmented
into stroke groups. A stroke group may at times
correspond to a part of a valid symbol
(over-segmentation) or a merger of valid symbols
(under-segmentation). Attention on specific features in
the AFS module serve in detecting possibly
over-segmented or under-segmented stroke groups.
Thereafter, feedbacks from the SVM classifier
likelihoods and stroke-group based features are
considered in modifying the suspected stroke groups to
form valid symbols. The proposed scheme is tested on a
set of 10000 isolated handwritten words (containing
53,246 Tamil symbols). The results show that the DOCS
module achieves a symbol-level segmentation accuracy of
98.1\%, which improves to as high as 99.7\% after the
AFS strategy. This in turn entails a symbol recognition
rate of 83.9\% (at the DOCS module) and 88.4\% (after
the AFS module). The resulting word recognition rates
at the DOCS and AFS modules are found to be, 50.9\% and
64.9\% respectively, without any postprocessing.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Asian Language Information
Processing",
journal-URL = "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}
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13(4)17,
13(4)18