Abstract
This paper proposes texture-based text location methods with a neural network (NN) and a Support Vector Machine (SVM). Both a NN and an SVM are employed to train a set of texture discrimination masks for the given texture classes: text region and non-text region. In these two approaches, feature extraction stage is not used as opposed to most traditional text location schemes, and discrimination filters for several environments can be automatically constructed. Comparisons between NN/SVM-based text location methods and a connected component method are presented.
Original language | English |
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Title of host publication | Intelligent Data Engineering and Automated Learning - IDEAL 2000 |
Subtitle of host publication | Data Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings |
Editors | Kwong Sak Leung, Lai-Wan Chan, Helen Meng |
Publisher | Springer Verlag |
Pages | 449-454 |
Number of pages | 6 |
ISBN (Print) | 3540414509, 9783540414506 |
DOIs | |
Publication status | Published - 2000 |
Externally published | Yes |
Event | 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 - Shatin, N.T., Hong Kong Duration: 2000 Dec 13 → 2000 Dec 15 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1983 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 |
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Country/Territory | Hong Kong |
City | Shatin, N.T. |
Period | 00/12/13 → 00/12/15 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2000.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science