Abstract
In the process of book binding, the detection for signatures is an essential step. In order to improve the speed of detection, and solve the problem of signatures position rotation when detecting. In this paper, to detecting signatures, the template matching method is used to detect signatures without page number, and for signatures with the page number, the method of OCR recognition is used to detect them. Found by experiment, the OCR identification method to detect the page number is a good one for the rotary signatures.
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References
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Acknowledgments
This paper is supported by Institute Level Key Project Funded by Beijing Institute of Graphic Communication (Ea201506) and Scientific Research Key Project of Beijing Municipal Commission of Education (KZ201210015015).
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Bu, W., You, F., You, Y., Rong, S. (2016). The Detection System Based on Machine Vision for the Process of Book Binding. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_41
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DOI: https://doi.org/10.1007/978-3-662-49155-3_41
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