Title :
Prompt Indian Coin Recognition with Rotation Invariance Using Image Subtraction Technique
Author :
Gupta, Vaibhav ; Puri, Rachit ; Verma, Monir
Author_Institution :
Electron. & Commun. Eng. Dept., Thapar Univ., Patiala, India
Abstract :
This paper detects Indian coins of different denomination. The spiraling business transaction at vending machines and automated systems working on token have spurred better coin recognition techniques saddled with increased robustness.These techniques facilitate transaction making it easier in all forms of trade. Keeping all the essential factors in mind a system has been created which recognizes coin based on image subtraction technique. The process performs 3 checks(radius, coarse and fine)on the input image. The stated subsequent checks enable the technique to endorse Rotation Invariance, thus obviating the need of placing the coin at a certain angle. Also, the technique does away with the requirement of placing the front face of the coin up. Subtraction between the input object image and database image is performed. Further, plotting the resultant values gives minima which if less than a standard threshold establishes the recognition of the coin. Results of MATLAB based simulations have been reported.
Keywords :
image recognition; automated systems; different denomination; image subtraction technique; prompt indian coin recognition; rotation invariance; vending machines; Artificial neural networks; Databases; Face; Gray-scale; Image recognition; Image segmentation; Pattern recognition;
Conference_Titel :
Devices and Communications (ICDeCom), 2011 International Conference on
Conference_Location :
Mesra
Print_ISBN :
978-1-4244-9189-6
DOI :
10.1109/ICDECOM.2011.5738496