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Banknote serial number recognition using deep learning.

Authors :
Ma, Xin
Yan, Wei Qi
Source :
Multimedia Tools & Applications; May2021, Vol. 80 Issue 12, p18445-18459, 15p
Publication Year :
2021

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%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13807501
Volume :
80
Issue :
12
Database :
Complementary Index
Journal :
Multimedia Tools & Applications
Publication Type :
Academic Journal
Accession number :
150410450
Full Text :
https://doi.org/10.1007/s11042-020-10461-z