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The Recognition Graph - Language Independent Adaptable On-line Cursive Script Recognition

Sternby, Jakob LU and Friberg, Christer (2005) International Conference on Document Analysis and Recognition, ICDAR'05 In Eighth International Conference on Document Analysis and Recognition, ICDAR'05 1. p.14-18
Abstract
One of the difficulties involved in providing commercially acceptable cursive script recognition solutions has been that the training of most systems have been greatly dependent upon dictionaries. In this paper we present a new technique for dictionary interaction in on-line cursive script recognition. It retrieves all possible paths through a segmentation graph, that correspond to words in a dictionary, in a very efficient way. Furthermore we present new ideas of how to treat secondary strokes in the on-line segmentation graph. The novel system has been tested on large data with very competitive results.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Eighth International Conference on Document Analysis and Recognition, ICDAR'05
volume
1
pages
14 - 18
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
International Conference on Document Analysis and Recognition, ICDAR'05
external identifiers
  • WOS:000232022600004
  • Scopus:33947377931
ISBN
0-7695-2420-6
DOI
10.1109/ICDAR.2005.238
language
English
LU publication?
yes
id
a98203a4-ee0d-4000-8c3c-3c35c3ffff58 (old id 787839)
date added to LUP
2008-01-15 08:26:18
date last changed
2016-10-13 04:39:08
@misc{a98203a4-ee0d-4000-8c3c-3c35c3ffff58,
  abstract     = {One of the difficulties involved in providing commercially acceptable cursive script recognition solutions has been that the training of most systems have been greatly dependent upon dictionaries. In this paper we present a new technique for dictionary interaction in on-line cursive script recognition. It retrieves all possible paths through a segmentation graph, that correspond to words in a dictionary, in a very efficient way. Furthermore we present new ideas of how to treat secondary strokes in the on-line segmentation graph. The novel system has been tested on large data with very competitive results.},
  author       = {Sternby, Jakob and Friberg, Christer},
  isbn         = {0-7695-2420-6},
  language     = {eng},
  pages        = {14--18},
  publisher    = {ARRAY(0x8dbcd40)},
  series       = {Eighth International Conference on Document Analysis and Recognition, ICDAR'05},
  title        = {The Recognition Graph - Language Independent Adaptable On-line Cursive Script Recognition},
  url          = {http://dx.doi.org/10.1109/ICDAR.2005.238},
  volume       = {1},
  year         = {2005},
}