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Banknote serial number recognition using deep learning

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Abstract

In this paper, we recognize serial numbers on banknotes using deep learning. The samples used in this paper are digital images which have been preprocessed with data labelling and data augmentation, e.g., scaling transformation, etc. The algorithms based on deep learning are proposed and have the stability for serial number recognition with complex backgrounds. In this paper, a pipeline of deep neural networks is established for the recognition of banknote serial numbers. Because high reliability is more important than accuracy in financial applications, DenseNet is set forth as the primary classifier, the scaling transformation of SegLink is put forward to locate the characters, the detection rate is up to 95.80%. A convolutional neural network with residual attention model is proposed for serial number recognition, the precision is up to 97.09%.

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Authors and Affiliations

  1. Auckland University of Technology, Auckland, 1010, New Zealand

    Xin Ma & Wei Qi Yan

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  1. Xin Ma
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  2. Wei Qi Yan
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Correspondence to Wei Qi Yan.

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Ma, X., Yan, W.Q. Banknote serial number recognition using deep learning. Multimed Tools Appl 80, 18445–18459 (2021). https://doi.org/10.1007/s11042-020-10461-z

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