International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A New Bank-card Number Identification Algorithm Based on Convolutional Deep Learning Neural Network

  • Shi, Rui-Xia (Dept. of Energy and Electrical Eng., Woosuk University) ;
  • Jeong, Dong-Gyu (Faculty of Computer Eng., Woosuk University)
  • Received : 2022.09.28
  • Accepted : 2022.10.05
  • Published : 2022.12.31
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Abstract

Recently bank card number recognition plays an important role in improving payment efficiency. In this paper we propose a new bank-card number identification algorithm. The proposed algorithm consists of three modules which include edge detection, candidate region generation, and recognition. The module of 'edge detection' is used to obtain the possible digital region. The module of 'candidate region generation' has the role to expand the length of the digital region to obtain the candidate card number regions, i.e. to obtain the final bank card number location. And the module of 'recognition' has Convolutional deep learning Neural Network (CNN) to identify the final bank card numbers. Experimental results show that the identification rate of the proposed algorithm is 95% for the card numbers, which shows 20% better than that of conventional algorithm or method.

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Acknowledgement

This paper was supported by Woosuk University in Korea.

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