Abstract
We propose a shape recognition method for the fast retrieval of objects in 2D images. The algorithm is based on recent developments in support vector machines and skeleton match. The shape recognition method is robust in the presence of noise and is irrespective of variations in rotation, scale and translation. The method has been implemented and performed experiments on some image data. Our experimental results showed characteristics of our method. In the end, the future research directions are discussed.
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Zhu, X. (2007). Shape Recognition Based on Skeleton and Support Vector Machines. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_116
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DOI: https://doi.org/10.1007/978-3-540-74282-1_116
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