Chinese Chess Recognition Based on Projection Histogram of Polar Coordinates Image and FFT

Peng, Hu; Luo, Yangyu; Li, Chengrong

doi:10.1109/ccpr.2009.5344001

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…On resisting the rotation attacks, all papers are all done. Hu [16] did not show the zoom-in or zoom-out test. As for the robustness to the pepper and salt attacks, Hu and AISYS [17] just did, but not describe.…”

Section: Simulation Results For Fcfd Methodsmentioning

confidence: 99%

“…Finally, we check and select the minimum error chess used as its chess. In our method, the decision formulas are listed in the Equations (15)- (16). Equation (15) calculates the features error by accumulating the difference between the coefficients F4 and F9, which are the errors between an input test image and standard images in database.…”

Section: Decision Functions Of the Fcfd Methodsmentioning

confidence: 99%

“…Hu et al [16] proposed a Chinese Chess Recognition algorithm based on projection histogram of polar coordinates image and Fast Fourier Transform. It adopts the rotation-invariant feature of chess characters.…”

Section: Introductionmentioning

confidence: 99%

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Chinese-Chess Image Recognition by using Feature Comparison Techniques

Chen¹

2014

Appl. Math. Inf. Sci.

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Abstract:In this paper, we develop a feature comparison method for the Chinese-chess object by using the features comparison based on input image and database. Features are generated by calculating the distance between the contour of the character and the centre of the chess object. In this paper, the noise filter, object extraction, normalization, feature calculation (FC) and maximum energy slop (MES) method are used to achieve robust Chinese-chess recognition. There are two advantages when compared with other methods. 1) Our method is robust against the 40 incline degree attacks. 2) Our method can resist the 20% pepper and salt noise attacks. In order to demonstrate the effectiveness of the proposed scheme, simulations under all kinds of various conditions were conducted. The experimental results show that our proposed scheme can exactly identify chess images at 100% of accuracy under less than 20% noise added and 40 degree incline test environment condition.

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Section: Simulation Results For Fcfd Methodsmentioning

confidence: 99%

Section: Decision Functions Of the Fcfd Methodsmentioning

confidence: 99%

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Chinese-Chess Image Recognition by using Feature Comparison Techniques

Chen¹

2014

Appl. Math. Inf. Sci.

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Vision-Based Entity Chinese Chess Playing Robot Design and Realization

Wang

Chen

2015

Intelligent Robotics and Applications

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Mahjong image recognition scheme using Fourier transform technique

Chen

Kuo

Tung

2012

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

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In this paper, we analyze the Mahjong pattern and divide the pattern into several sub-blocks for extracting features by DFT. In normalization stage, scaling method is used to standardize patterns so to eliminate image zooming in or out problems.We use two strategies to improve the Mahjong image identification: 1) we develop a special normalization skill to standardize the image. 2) We develop five features for pattern identification. The features can exactly distinguish which is the test pattern chess. Compared with other methods, our scheme has simple and effective advantages.In order to demonstrate the effectiveness of the proposed scheme, simulations under all kinds of various conditions were conducted. The experimental results show that our proposed scheme can exactly identify Mahjong pattern images at 100% accuracy all the time.

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Chinese Chess Recognition Based on Projection Histogram of Polar Coordinates Image and FFT

Cited by 4 publications

References 5 publications

Chinese-Chess Image Recognition by using Feature Comparison Techniques

Chinese-Chess Image Recognition by using Feature Comparison Techniques

Vision-Based Entity Chinese Chess Playing Robot Design and Realization

Mahjong image recognition scheme using Fourier transform technique

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