DocumentCode
711895
Title
The Study of Counterfeit Classification Method Based on Image Features
Author
Lvping Chen ; Tiewei Fu ; Bo Cui ; Yihong Guan ; Yanyan Wang
Author_Institution
Fac. of Sci., Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2015
fDate
24-26 April 2015
Firstpage
512
Lastpage
516
Abstract
Counterfeit performance different image features under different spectral bands. This paper studies the classification method based on counterfeit image feature. Counterfeit money in different spectral are analyzed by gray value, fuzzy C-means and other methods. Then the counterfeit is classified by the principle of Euclidean distance and similarity of European. The experimental result shows that this method is fast, efficient, easy to achieve in the production.
Keywords
feature extraction; fuzzy set theory; image classification; Euclidean distance; counterfeit classification method; counterfeit money; fuzzy C-means methods; gray value; image classification; image feature; Euclidean distance; Fluorescence; Histograms; Image color analysis; Ink; Libraries; Linear programming; Counterfeit money; fuzzy C-means; multi-spectral;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-6849-0
Type
conf
DOI
10.1109/ICISCE.2015.119
Filename
7120659
Link To Document