参考文献/References:
[1] [s.n.]. IR Security Inks Application on the Paper Currency[EB/OL].[2011-12-30]. http: // blog.jibi.net/group.asp?cmd=show&gid=4&pid=242.(in Chinese)
佚名. 红外防伪油墨在纸币上的应用[EB/OL].[2011-12-30]. http: // blog.jibi.net/group.asp?cmd=show&gid=4&pid=242.
[2] Liang Youjie. Security technology of RMB and identification[M]. Beijing:China Financial Publishing House,2005: 226-272.(in Chinese)
梁友杰. 人民币防伪技术及真伪鉴别[M].北京:中国金融出版社,2005:226-272.
[3] Hinwood A, Preston P, Suaning G, et al. Bank note recognition for the vision impaired[J]. Australasion Physical and Engineering Science in Medicine, 2006, 29(2): 229-233.
[4] Choi E, Lee J, Yoon J. Feature extraction for bank note classification using wavelet transform[C]// The 18th International Conference on Pattern Recognition. Hong Kong(China): IEEE Press, 2006, 2: 934-937.
[5] Takeda F, Omatu S. Bank note recognition system using neural network with random masks[C]// Proceeding of the World Congress on Neural Networks. Portland(USA): International Neural Network Society,1993:I-241-I-244.
[6] Takeda F, Nishikage T, Matsumoto Y. Characteristic extraction of paper currency using symmetrical masks optimized by GA and neuro-recognition of multi-national paper currency[C]// International Conference on Neural Networks. Alaska(USA): IEEE Press, 1998, 1: 634-639.
[7] Hasanuzzaman F M, Yang X, Tian Y. Robust and effective component-based banknote recognition for the blind[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2012, 42(6): 1021-1030.
[8] He C, Girolami M, Ross G. Employing optimized combinations of one-class classifiers for automated currency validation[J]. Pattern Recognition, 2004, 37(6): 1085-1096.
[9] He C, Girolami M, Ross G. Employing optimized combinations of one-class classifiers for automated currency validation[J]. Pattern Recognition, 2004, 37(6): 1085-1096.
[10] Ionescu M, Ralescu A. Fuzzy hamming distance based banknote validator[C]// The 14th IEEE International Conference on the Fuzzy Systems. Vancouver (Canada): IEEE Press, 2005:300-305.
[11] Masato A, Tetsuo K, Yoshiyasu T. Euro banknote recognition system using a three-layered perceptron and rbf networks[J]. IPSJ Transactions on Mathematical Modeling and Its Applications, 2003, 44:99-109.
[12] Bruna A, Farinella G M, Guarnera G C, et al. Forgery detection and value identification of Euro banknotes[J]. Sensors, 2013, 13(2): 2515-2529.
[13] Hu Xuejuan, Ruan Shuangchen, Yang Jinhui, et al. An Identification Device for Paper Currency or Notes:China,201120235245.4[P]. 2012-02-08.
[14] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]// International Conference on Computer Vision and Pattern Recognition. San Diego(USA): IEEE Press, 2005, 1: 886-893
[15] Vapnik V N. The nature of statistical learning theory[M]. New York(USA): Springer-Verlag,1995.
[16] Hu Xuejuan, Liu Chengxiang, Yang Jinhui, et al. Convolution approach for zebra stripe feature extraction of infrared paper currency image[J]. Laser & Infrared, 2012, 42(10): 1196-1201.(in Chinese)
胡学娟,刘承香,杨锦辉, 等. 基于卷积运算的纸币红外图像斑马线特征提取[J]. 激光与红外,2012,42(10):1196-1201.