DocumentCode :
672197
Title :
Saudi riyal coin detection and recognition
Author :
Hassoubah, Rawan S. ; Aljebry, Amel F. ; Elrefaei, Lamiaa A.
Author_Institution :
Fac. of Comput. & Inf. Technol., King Abdulaziz Univ., Jeddah, Saudi Arabia
fYear :
2013
fDate :
9-11 Dec. 2013
Firstpage :
62
Lastpage :
66
Abstract :
Coin detection and recognition applications play an important role in computer vision and in industry. Many applications have been developed to detect coins and estimate its corresponding values either by camera picture or mobile devices. This paper proposes a system that uses number of computer vision techniques to detect and recognize coins applied to Saudi riyal currency and returns its estimated values. The main goal goes around differentiating between different division of the same currency.
Keywords :
Hough transforms; computer vision; edge detection; image segmentation; object detection; object recognition; Saudi Riyal coin detection; Saudi Riyal coin recognition; Saudi riyal currency; camera picture; circular Hough transform; computer vision techniques; edge detection; image thresholding; mobile devices; Computer vision; Conferences; Equations; Image color analysis; Image edge detection; Transforms; circular hough transform; coin detection; coin recognition; computer vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
Conference_Location :
Shimla
Print_ISBN :
978-1-4673-6099-9
Type :
conf
DOI :
10.1109/ICIIP.2013.6707556
Filename :
6707556
Link To Document :
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