The Recognition of New and Old Banknotes Based on SVM

Author

Sun, Baiqing ; Li, Jilu

Author_Institution

Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang

Volume

2

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

95

Lastpage

98

Abstract

On basis of reviewing the existed research results, and with digital image processing technology, this paper brings forward a rapid algorithm of detecting new and old banknotes, in which the Support Vector Machines (SVM) and Dynamic Time Warp (DTW) are combined. First, the banknotes gray histogram is aligned by DTW. Second, the aligned Gray Histogram is embedded in radial basis function (RBF) of SVM. Then, a mixed structure RBF/DTW is built. The simulation results show that the proposed structure is efficient to recognize the banknote levels of new and old.

Keywords

image processing; radial basis function networks; support vector machines; SVM; digital image processing; dynamic time warp; gray histogram; radial basis function; support vector machines; Digital images; Histograms; Image recognition; Information science; Information technology; Machine learning; Support vector machine classification; Support vector machines; Target recognition; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.157

Filename

4739734