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7th International Conference on Communications, Signal Processing, and Systems (CSPS)

作者： Jiang, Ying Dong, Heng Fan, Yaping Wang, Yu Gui, Guan Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Peoples R China

ISBN: (纸本)9789811365041;9789811365034

Due to the indefinite position of the characters in the invoice and the difference of the color shades, which greatly increases the difficulty of intelligent identification and thus it is difficult to meet practical applications. In order to solve this problem, this paper proposes a quadratic segmentation algorithm based on image enhancement. Specifically, we firstly enhance the color of the image based on gamma transformation and then separate the machine-printing character from the blank invoice based on the color analysis of the machine-printing character. Then according to the open operation in the image processing field and the boundingRect algorithm, the pixel information of the machine-playing character is obtained, which is convenient for getting the character information. The algorithm can achieve effective extraction of machine-playing characters and also reduce the difficulty of invoice identification and improving the accuracy of invoice identification. Simulation results are given to confirm the proposed algorithm.

关键词： quadratic segmentation algorithm Image processing Invoice identification Color determination Image processing

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Optimization of overprint error detection based on the FCM algorithm

Optimization of overprint error detection based on the FCM a...

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International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

作者： Wang, Yuchuan Qi, Yusheng Zhang, Yongbin Du, Yunfei Beijing Inst Graph Commun Beijing Peoples R China

ISBN: (纸本)9781665464680

Because the printing accuracy of printed matter needs to be higher and higher, it is necessary to strengthen the accuracy of the overprint error detection. However, in the current machine vision detection methods, when separating the four primary colors of CMYK, there is still the phenomenon of four colors overlapping, which decrease the detection accuracy. In this paper, based on the existing machine vision detection methods, The FCM algorithm is used to cluster image colors, so as to improve the accuracy of color segmentation and decrease the impact of four-color overlap. Through this method, the identifier image can be clustered to improve the detection accuracy. The results indicate that this method can reduce the interaction between the four colors to a certain extent and provide convenience for successive color segmentation.

关键词： FCM algorithm Machine vision inspection CMYK color space quadratic segmentation algorithm

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Secondary segmentation extracted algorithm based on image enhancement for intelligent identification systems

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2018年第12期14卷

作者： Dong, Heng Jiang, Ying Fan, Yaping Wang, Yu Gui, Guan Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China

Due to the indefinite position of the characters in the invoice and the difference of the color shades, which greatly increases the difficulty of intelligent identification, it is difficult to meet practical applications. In order to solve this problem, this article proposes a quadratic segmentation algorithm based on image enhancement. Specifically, we first enhance the color of the image based on gamma transformation, and then separate the machine-printing character from the blank invoice based on the color analysis of the machine-printing character. Then according to the open operation in the image processing field and the bounding rectangle algorithm, the pixel information of the machine-printing character is obtained, which is convenient for getting the character information. The algorithm can achieve effective extraction of machine-printing characters and also reduce the difficulty of invoice identification and improving the accuracy of invoice identification. Simulation results are given to confirm the proposed algorithm. After many experiments, the extraction accuracy of this algorithm is as high as 95%.

关键词： quadratic segmentation algorithm image processing invoice identification color determination

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