TY  - JOUR
T1  - Design of Foreign Currency Recognition Application using Scale Invariant Feature
Transform (SIFT) Method based on Android (Case Study: Singapore Dollar)
AU - Luhur Prasasti, Anggunmeka AU - Rizky Adhiguna, Mohammad AU - Irawan, Budhi 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 19
SP  - 6991
EP  - 6997
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.6991.6997
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.6991.6997
KW  - Foreign currency
KW  -mobile application Android
KW  -SIFT
KW  -calculation process
KW  -accuracy
AB  - Money is the most commonly used means of payment by the public. But without denying fake money
is widely circulated and there are still many people who are less accurate in recognizing the authenticity of the
money. This will be bad for social life as we known that money is main payment that can use by everyone. For
people with disabilities that lack of visual itself will be hard to know the identity from the money. With this
problem in this research will be designed and implemented an Android based mobile application that can
recognize currency with image. Applications designed using the Scale Invariant Feature Transform (SIFT)
method that can provide information to users about their nominal and authenticity of the money using
Indonesian. This application can help people who are less aware of information about genuine money and
people with disabilities to find informations about authenticity of Foreign currency. With this application
people with disabilities, also can tell the identity of the money itself with more accurate considering this app
has implemented by SIFT method on feature extraction but the process time will be longer because the SIFT
method itself has a fairly complicated calculation process. From these complex calculations will also produce
better accuracy.
ER  -