Referenced Items are not available for this document.
We present a method based on statistical properties of local image pixels for focussing attention on regions of text in arbitrary scenes where the text plane is not necessarily fronto-parallel to the camera. This is particularly useful for desktop or wearable computing applications. The statistical measures are chosen to reveal characteristic properties of text. We combine a number of localised measures using a neural network to classify each pixel as text or non-text. We demonstrate our results on typical images
Published in:
Pattern Recognition, 2000. Proceedings. 15th International Conference on
(Volume:1
)
Date of Conference: 2000
- Page(s):
- 450 - 453 vol.1
- Meeting Date :
- 03 Sep 2000-07 Sep 2000
- ISSN :
- 1051-4651
- Print ISBN:
- 0-7695-0750-6
- INSPEC Accession Number:
- 6873683
- Conference Location :
- Barcelona
- Digital Object Identifier :
- 10.1109/ICPR.2000.905373
- Product Type:
- Conference Publications
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.
