Abstract
A system using multiple agents working on a pyramid structure to do text extraction is described in this paper. The method is based on the observation that text strings appear as different groupings of connected components at appropriate resolutions. The pyramid structure, which is a multi-resolution image representation, is amenable to parallel processing for detection of text strings. Agents in the system individually and concurrently look for groups of connected components at appropriate levels. They may in turn spawn new agents when connected components become disjointed at finer resolution levels. The agent-based pyramidal operations do not require expensive feature analysis among different connected components to detect text strings as found in other existing works.
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© 1999 Springer-Verlag London Limited
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Tan, C.L., Yuan, B., Ang, C.H. (1999). Agent-Based Text Extraction from Pyramid Images. In: Singh, S. (eds) International Conference on Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-0833-7_35
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DOI: https://doi.org/10.1007/978-1-4471-0833-7_35
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1214-3
Online ISBN: 978-1-4471-0833-7
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