Journal of Jilin University Science Edition

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Application of Improved Feature Matching Algorithmin Bank Card Number Recognition

DONG Yanhua, CHEN Zhonghua, SONG Heye, HUANG Yu   

  1. Jilin Province Key Laboratory for Numerical Simulation, College of Computer, Jilin Normal University, Siping 136000, Jilin Province, China
  • Received:2017-03-20 Online:2018-01-26 Published:2018-01-24
  • Contact: HUANG Yu E-mail:362395362@qq.com

Abstract: Aiming at the shortcomings of current bank card number recognition algorithm, we proposed an improved feature matching algorithm based on pattern recognition technique, and applied it to bank card number recognition. The improved feature extraction algorithm transformed feature vectors and increased the number of feature learnings,  solved the problem of traditional method identifying bank card number with low accuracy, and ensured the recognition efficiency. Simulation experimental results show that the improved feature extraction algorithm can effectively improve the correct rate of bank card number recognition.

Key words: Euclidean distance, improved feature matching, feature vector, numerical recognition

CLC Number: 

  • TP391.4