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Proceedings Paper

Identification of serial number on bank card using recurrent neural network
Author(s): Li Liu; Linlin Huang; Jian Xue
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Paper Abstract

Identification of serial number on bank card has many applications. Due to the different number printing mode, complex background, distortion in shape, etc., it is quite challenging to achieve high identification accuracy. In this paper, we propose a method using Normalization-Cooperated Gradient Feature (NCGF) and Recurrent Neural Network (RNN) based on Long Short-Term Memory (LSTM) for serial number identification. The NCGF maps the gradient direction elements of original image to direction planes such that the RNN with direction planes as input can recognize numbers more accurately. Taking the advantages of NCGF and RNN, we get 90%digit string recognition accuracy.

Paper Details

Date Published: 10 April 2018
PDF: 7 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061516 (10 April 2018); doi: 10.1117/12.2303378
Show Author Affiliations
Li Liu, Beijing Jiao Tong Univ. (China)
Linlin Huang, Beijing Jiao Tong Univ. (China)
Jian Xue, Beijing Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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