Abstract
In this paper, we present a new method for recognizing Chinese chess. Firstly, histogram equalization and Hough gradient transform is used to determining the location of chess center; Secondly, Log-Polar Transform is used to achieve rotation-invariant and scale-invariant after preprocessing; Thirdly, Fast Fourier Transform (FFT) can achieve translation-invariant. A simple measurement is used to assess the similarity after horizontal and vertical projection. Experiment results have shown that the algorithm can effectively recognize all chesses.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lei, S., Hailang, P., Guo, C., Chengrong, L. (2011). Chinese Chess Recognition Based on Log-Polar Transform and FFT. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21898-9_5
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DOI: https://doi.org/10.1007/978-3-642-21898-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21897-2
Online ISBN: 978-3-642-21898-9
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