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Video-Based Content Recognition of Bank Cards with Mobile Devices

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Abstract

In this paper, we propose an algorithm for detection and recognition of all information fields at the bank card front side based on video sequences. The algorithm is intended for use on mobile devices. This algorithm consists of the following basic steps: detection of the card boundaries in a frame, segmenting the information fields, improving the quality of segments, localizing the boundaries of symbols, and recognizing blocks of symbols. We also conduct a series of experiments. Experimental results show that our algorithm can achieve higher detection rates of 88% for all information fields and 92.5% for the bank card number and expiration date. The processing time per frame at different resolutions for each step by using iPhone 7 is presented. The experimental results confirm the efficiency of the proposed approach.

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Funding

This work was supported by the Public Welfare Technology Applied Research Program of the Zhejiang Province (LGF19F020016, LGJ18F020001, and LGJ19F020002) and the National High-End Foreign Experts Program (GDW20183300463).

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Authors and Affiliations

  1. Zhejiang Shuren University, Shuren St. 8, 310015, Hangzhou, China

    H. Chen & S. Ye

  2. Polotsk State University, ul. Blokhina 29, 211440, Novopolotsk, Belarus

    A. Kurilovich & R. Bohush

  3. Belarusian State University, pr. Nezavisimosti 4, 220030, Minsk, Belarus

    S. Ablameyko

  4. United Institute of Informatics Problems, National Academy of Sciences of Belarus, ul. Surganova 6, 220012, Minsk, Belarus

    S. Ablameyko

Authors
  1. H. Chen
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  2. S. Ye
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  3. A. Kurilovich
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  4. R. Bohush
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  5. S. Ablameyko
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Corresponding authors

Correspondence to H. Chen, S. Ye, A. Kurilovich, R. Bohush or S. Ablameyko.

Additional information

Translated by Yu. Kornienko

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Chen, H., Ye, S., Kurilovich, A. et al. Video-Based Content Recognition of Bank Cards with Mobile Devices. Program Comput Soft 46, 373–383 (2020). https://doi.org/10.1134/S036176882006002X

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  • DOI: https://doi.org/10.1134/S036176882006002X

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