| Citation: |
LI Wenhong, TIAN Wenjuan, WANG Xia, LUO Kexue. Serial Number Identification of RMB Banknote Based on Support Vector Machine[J]. INFORMATION AND CONTROL, 2010, 39(4): 462-465,471.
|
| [1] |
徐海兰,刘彦婷,杨磊.模式识别中三种字符识别的方法[J].北京广播学院学报:自然科学版,2005,12(4):34-38.Xu Hailan,Liu Yanting,Yang Lei.Three recognition methods of license plate's characters[J].Journal of Beijing Broadcasting Institute:Science and Technology,2005,12(4):34-38.
|
| [2] |
Vapnik V N.The nature of statistical learning theory[M].Berlin,Germany:Springer,1995.
|
| [3] |
Suykens J A K,Vandewalle J.Least squares support vector machine classifiers[J].Neural Processing Letters,1999,9(3):293-300.
|
| [4] |
刘红刚.纸币号码识别系统的设计与实现[D].长沙:中南大学,2007.
|
| [5] |
Liu Honggang.The design and implementation on recognizing system of paper currency numbers[D].Changsha:Central South University,2007.
|
| [6] |
张国云.支持向量机算法及应用研究[D].长沙:湖南大学,2006.Zhang Guoyun.Algorithm and application research of support vector machine[D].Changsha:Hunan University,2006.
|
| [7] |
肖明明,黎耀荣.基于DSP的字符识别系统的实现[J].微计算机信息,2009(1/2):133-134.Xiao Mingming,Li Yaorong.Design of identification system based DSP for character list[J].Microcomputer Information,2009(1/2):133-134.
|
| [8] |
周亮.基于神经网络的车牌识别算法研究[D].青岛:青岛科技大学,2007.Zhou Liang.License plate recognition algorithm based on neural network[D].Qingdao:Qingdao University of Science& Technology,2007.
|
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