This paper is published in Volume-2, Issue-4, 2016
Area
Neural Networks
Author
Sneha Kalra, Kapil Dewan
Org/Univ
PCTE, Ludhiana, India
Keywords
Coin detection, Machine learning
Citations
IEEE
Sneha Kalra, Kapil Dewan. Indian Coin Detection by ANN and SVM, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sneha Kalra, Kapil Dewan (2016). Indian Coin Detection by ANN and SVM. International Journal of Advance Research, Ideas and Innovations in Technology, 2(4) www.IJARIIT.com.
MLA
Sneha Kalra, Kapil Dewan. "Indian Coin Detection by ANN and SVM." International Journal of Advance Research, Ideas and Innovations in Technology 2.4 (2016). www.IJARIIT.com.
Sneha Kalra, Kapil Dewan. Indian Coin Detection by ANN and SVM, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sneha Kalra, Kapil Dewan (2016). Indian Coin Detection by ANN and SVM. International Journal of Advance Research, Ideas and Innovations in Technology, 2(4) www.IJARIIT.com.
MLA
Sneha Kalra, Kapil Dewan. "Indian Coin Detection by ANN and SVM." International Journal of Advance Research, Ideas and Innovations in Technology 2.4 (2016). www.IJARIIT.com.
Abstract
Most of the systems available recognize the coins by taking physical properties like radius, thickness etc into consideration due to which these systems can be fooled easily. To remove above discrepancy features, drawings and numerals printed on the coin could be used as the patterns for which support vector machine can be trained so that more accurate recognition results can be obtained. In Previous techniques less emphasis given on classifier function that’s why classification accuracy is not improved. For solving this problem classifier techniques can be used.