The Recognition Graph - Language Independent Adaptable On-line Cursive Script Recognition
(2005) 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/787839
- author
- Sternby, Jakob LU and Friberg, Christer
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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
- conference dates
- 2005-08-29 - 2005-09-01
- 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
- 2016-04-04 10:17:15
- date last changed
- 2022-01-29 20:04:29
@inproceedings{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}}, booktitle = {{Eighth International Conference on Document Analysis and Recognition, ICDAR'05}}, isbn = {{0-7695-2420-6}}, language = {{eng}}, pages = {{14--18}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{The Recognition Graph - Language Independent Adaptable On-line Cursive Script Recognition}}, url = {{http://dx.doi.org/10.1109/ICDAR.2005.238}}, doi = {{10.1109/ICDAR.2005.238}}, volume = {{1}}, year = {{2005}}, }