Referenced Items are not available for this document.
This paper presents an offline word-recognition system based on structural information in the unconstrained written word. Oriented features in the word are extracted with the Gabor filters. We estimate the Gabor filter parameters from the grayscale images. A two-dimensional fuzzy word classification system is developed where the spatial location and shape of the membership functions are derived from the training words. The system achieves an average recognition rate of 74% for the word being correctly classified in the top position and an average of 96% for the word being correctly classified within the top five positions
Published in:
Fuzzy Systems, IEEE Transactions on
(Volume:10
,
Issue:
1
)
Date of Publication: Feb 2002
- Page(s):
- 65 - 76
- ISSN :
- 1063-6706
- INSPEC Accession Number:
- 7182683
- Digital Object Identifier :
- 10.1109/91.983279
- Date of Current Version :
- 07 August 2002
- Issue Date :
- Feb 2002
- Sponsored by :
- IEEE Computational Intelligence Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
