Abstract
Screen character integrity detection is an indispensable part for smart meter production. Compared with manual detection, automatic detection has evident advantage in terms of efficiency and cost. However, current automatic detection methods heavily depend on the preciseness of character segmentation. In this case, the image quality, e.g., inclination, noise, and non-uniform intensity of the screen, tends to highly influence the detection accuracy. To alleviate this problem, this paper proposes a multi-scale feature based automatic detection method. The main idea of this method is to search for the characters in the screen image based on the multi-scale features matching of each character. Therefore, we can determine the character integrity without segmentation. Moreover, the impact of screen image quality is effectively avoided. Experiments on real meter screen image show the effectiveness of the proposed method.
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This work was supported by the National Natural Science Foundation of China under Grant 61601397.
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Sui, C., Zhu, N., Qiao, X. (2018). Multi-scale Feature Based Automatic Screen Character Integrity Detection. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_59
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DOI: https://doi.org/10.1007/978-981-13-0893-2_59
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