Title :
A research on QR Code recognition enhancement using pre-constructed image matching scheme
Author :
Misun Ahn ; Sungwon Lee
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
Abstract :
Recently, as the smartphone market is growing rapidly, the amount of using QR Code with smartphone is increasing together. This paper proposes a new method for improving the rate of QR Code recognition on smartphone. In some angles, sometimes, a few applications cannot recognize QR code. So, this method make it possible to recognize the QR Code any angle. In order to find an original QR Code we proposes a method which recognizes QR code imaginary at first, then send information of this QR Code to an area of QR database. Finally we use `image matching method´ between recognition of QR Code and the database we already had.
Keywords :
QR codes; image matching; smart phones; QR code recognition enhancement; QR database; image matching method; preconstructed image matching scheme; smartphone market; Computers; Educational institutions; Image matching; Image recognition; Mobile handsets; Servers; QR Code; cloud; image matching; recognition;
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2014 International Conference on
Conference_Location :
Busan
DOI :
10.1109/ICTC.2014.6983088