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Giovinna Khoharja
Program Studi Teknik Informatika
Computer Science & IT

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Aplikasi Deteksi Nilai Uang pada Mata Uang Indonesia dengan Metode Feature Matching Giovinna Khoharja; Liliana Liliana; Anita Nathania Purbowo
Jurnal Infra Vol 5, No 1 (2017)
Publisher : Jurnal Infra

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Abstract

Banknote can’t be detected and recognized by blind people.Application for banknote recognition, which can run on Androidsmartphone with camera, is made in this paper to help blind people.Indonesian Rupiah(IDR) is used as a working example. This doesnot require any communication with remote server, and all thenecessary computations take place on the phone itself. In thisapplication, user can tak picture of the banknote with double tapon the screen, and the results will be announced by voice. Thesystem relies on computer vision algorithm, such as featuredetection, feature description, and matching. Each application ofORB, SURF, and SIFT is applied in matching captured banknoteimages to template images. To improve the confidence of thebanknote recognition, homography is used to filter the featurematching results.The systems evaluate the performance on 700 images and report anaccuracy of 93.14% using SURF, 92.57% using SIFT, and 89.17%using ORB
Co-Authors Anita Nathania Purbowo Liliana Liliana