Title :
Currency detection using similarity indices method
Author :
Vishnu, R. ; Omman, Bini
Author_Institution :
Dept. of Comput. Sci. & Eng., SCMS Sch. of Eng. & Technol., Ernakulam, India
Abstract :
The determination of the currency denomination is an issue in paper currency recognition system. This paper proposes a robust method to recognize the paper currency using the pattern matching. In the proposed algorithm a similarity measure is used to classify the currency based on the similarity of the extracted features. To evaluate the performance of the proposed method experiments were conducted over 200 of currencies of different denominations. On performing the experiment the proposed method gives 97% accuracy.
Keywords :
feature extraction; image matching; currency denomination; currency detection; feature extraction; paper currency recognition system; pattern matching; similarity indices method; Convergence; Feature extraction; Image color analysis; Neural networks; Seals; Shape; Training; Automated Banking System; Currency; Financial Self Services;
Conference_Titel :
Convergence of Technology (I2CT), 2014 International Conference for
Print_ISBN :
978-1-4799-3758-5
DOI :
10.1109/I2CT.2014.7092214