Title | ||
---|---|---|
A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme |
Abstract | ||
---|---|---|
This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a two-dimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using `cloud-based pre-generated image matching'. Our experimental results show the efficiency of the proposed method. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/ICOIN.2015.7057912 | ICOIN |
Keywords | Field | DocType |
image coding,image matching,recognition,two-dimensional code,qr codes,qr code recognition method,qr code,quick response code,cloud-based pregenerated image matching scheme,smart phones,cloud computing,smartphone market,image recognition,shape,servers | Computer vision,Computer science,Image matching,Server,Artificial intelligence,Salient,Cloud computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Misun Ahn | 1 | 0 | 0.34 |
Seunghyun Hong | 2 | 2 | 1.11 |
Sungwon Lee | 3 | 121 | 25.80 |