Identification of serial number on bank card using recurrent neural network

Li Liu; Linlin Huang; Jian Xue

doi:10.1117/12.2303378

10 April 2018 Identification of serial number on bank card using recurrent neural network

Li Liu, Linlin Huang, Jian Xue

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061516 (2018) https://doi.org/10.1117/12.2303378
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

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.

Citation Download Citation

Li Liu, Linlin Huang, and Jian Xue "Identification of serial number on bank card using recurrent neural network", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061516 (10 April 2018); https://doi.org/10.1117/12.2303378

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