Yang, J. and Tao, D. and Tian, C. and Gao, X. and Li, Xuelong (2010) Chinese text detection and location for images in multimedia messaging service. In: UNSPECIFIED (ed.) 2010 IEEE International Conference on Systems, Man and Cybernetics. New York, USA: Institute of Electrical and Electronics Engineers, pp. 3896-3901. ISBN 9781424465866.
Abstract
Text detection and recognition for images in multimedia messaging service is a very important task. Since Chinese characters are composed of four kinds of strokes, i.e., horizontal line, top-down vertical line, left-downward slope line and short pausing stroke, we present Gabor filters with scale and direction varied to describe the strokes of Chinese characters for candidate text area extraction. By establishing four sub-neural networks to learn the texture of text area, the learnt classifiers are used to detect candidate text areas. Experimental results show that the proposed approach can improve the accuracy of text detection and the recognition rate of images in multimedia messaging service.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 11 Jul 2013 09:19 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7624 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
