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