Abstract
In many information card recognition systems, the most important task is to detect the correct location of the full-filling block. And it always needs high quality card and device. In this paper, a new noble recognition algorithm by support vector machines for user defined sheet made by normal paper is developed. We focused on recognizing the full-filling block in multi-noises environment. And we also focused on recognizing the sheet which has user defined format. The algorithm was also shown to be more effective and more robust than traditional recognition algorithm.
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Tang, Ws., Wang, Sc., Xiao, Hl. (2012). Support Vector Machines for User-Defined Sheets Recognition in Complex Environment. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_26
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DOI: https://doi.org/10.1007/978-3-642-25944-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25943-2
Online ISBN: 978-3-642-25944-9
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