Title :
A reliable method for paper currency recognition based on LBP
Author :
Guo, Junfang ; Zhao, Yanyun ; Cai, Anni
Author_Institution :
Multimedia Commun. & Pattern Recognition Labs., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Paper currency recognition with good accuracy and high processing speed has great importance for banking system. How to extract high quality monetary features from currency images is a key problem in paper currency recognition. Based on the traditional local binary pattern (LBP) method, an improved LBP algorithm, called block-LBP algorithm, is proposed in this paper for characteristic extraction. The proposed method has advantages of simplicity and high speed. The experimental results show that this improved method has a high recognition rate, as well as robustness for noise and illumination change.
Keywords :
banking; feature extraction; image denoising; image recognition; lighting; LBP; banking system; currency image; high quality monetary feature extraction; illumination change; image denoising; local binary pattern; paper currency recognition; Artificial neural networks; Feature extraction; Histograms; Mathematical model; Pattern recognition; Pixel; Training; LBP algorithm; feature extraction; paper currency recognition;
Conference_Titel :
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6851-5
DOI :
10.1109/ICNIDC.2010.5657978
