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Bank Card and ID Card Number Recognition in Android Financial APP

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Smart Computing and Communication (SmartCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10135))

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Abstract

In almost every financial management related Android application, users should input bank card and ID card number before transferring money between their financial accounts. In order to reduce user-input and improve user experience, a bank card and ID card number recognition method is proposed. The method consists of image preprocessing, numeral segmentation and numeral recognition. All the procedures are performed based on OpenCV and run on Android platform. Test results show that the correctness rate is 80% and its useful in practice.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grants NSFC 61672358.

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Authors and Affiliations

  1. Shenzhen University, Shenzhen, Guangdong Province, China

    Shubin Cai, Jinchun Wen, Siming Chen & Zhong Ming

  2. Engineering Research Center of Mobile Internet Application Middleware, Shenzhen, Guangdong Province, China

    Shubin Cai, Jinchun Wen & Zhong Ming

  3. Guangdong Province Key Laboratory of Popular High Performance Computers, Shenzhen, Guangdong Province, China

    Honglong Xu & Zhong Ming

  4. School of Mathematics and Big Data, Foshan University, Foshan, 528000, Guangdong, China

    Honglong Xu

Authors
  1. Shubin Cai
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  2. Jinchun Wen
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  3. Honglong Xu
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  4. Siming Chen
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  5. Zhong Ming
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Corresponding author

Correspondence to Shubin Cai .

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Editors and Affiliations

  1. Pace University, New York, New York, USA

    Meikang Qiu

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Cai, S., Wen, J., Xu, H., Chen, S., Ming, Z. (2017). Bank Card and ID Card Number Recognition in Android Financial APP. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-52015-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52014-8

  • Online ISBN: 978-3-319-52015-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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