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ICDAR
2011
IEEE

Chinese Chess Character Recognition with Radial Harmonic Fourier Moments

12 years 3 months ago
Chinese Chess Character Recognition with Radial Harmonic Fourier Moments
—Radial harmonic Fourier moments (RHFMs) are invariant to translation, rotation, scaling and intensity, which own excellent image description ability, noise-resistant power, and less computational complexity. In this paper, RHFMs have been applied to the rotated Chinese Chess character recognition, which is the key step in chess recognition for vision system of Chinese Chess playing robot. In order to evaluate the efficiency of this method, experiments on both toy images and real chess images were carried out respectively. The experimental results indicate that the proposed method achieves an average recognition rate of 99.49% in artificial datasets and 99.57% in real-world datasets. The results demonstrate that the RHFMs have excellent performance in rotated Chinese Chess character recognition. Keywords-rotated Chinese character recognition; Chinese Chess; Radial harmonic Fourier moments (RHFMs); moment invariants
Kejia Wang, Honggang Zhang, Ziliang Ping, Haiying
Added 24 Dec 2011
Updated 24 Dec 2011
Type Journal
Year 2011
Where ICDAR
Authors Kejia Wang, Honggang Zhang, Ziliang Ping, Haiying
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