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
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;
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
DOI :
10.1109/ICISCE.2015.119
