Abstract
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.
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Jiang, Y., Dong, H., Fan, Y., Wang, Y., Gui, G. (2020). Quadratic Segmentation Algorithm Based on Image Enhancement. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_10
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DOI: https://doi.org/10.1007/978-981-13-6504-1_10
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