10 April 2018 Identification of serial number on bank card using recurrent neural network
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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.
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Li Liu, Li Liu, Linlin Huang, Linlin Huang, Jian Xue, 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); doi: 10.1117/12.2303378; https://doi.org/10.1117/12.2303378
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