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The Image Preprocessing and Check of Amount for VAT Invoices

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Book cover Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

With the continuous development of the social economy, the problem of low efficiency of invoice reimbursement has received more and more attention from companies, universities, and governments in China. In this paper, based on the recognition of invoices by OCR, we use Hough transform to preprocess the scanned image of invoices and creatively introduce the idea of checking the amount of money. We proofread the uppercase and lowercase amounts in the OCR recognition results. Using this method, the accuracy rate of OCR recognition increased from 95 to 99%, which greatly reduced the employees’ reimbursement time.

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Correspondence to Shangang Fan .

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Yin, Y., Wang, Y., Jiang, Y., Fan, S., Xiong, J., Gui, G. (2020). The Image Preprocessing and Check of Amount for VAT Invoices. 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_6

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

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