APLIKASI MOBILE BERBASIS CBIR UNTUK PENCARIAN PRODUK PONSEL PADA ONLINESHOP

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Published: Feb 15, 2019
DOI: https://doi.org/10.24912/jiksi.v7i1.5925
Keywords:
Color Quantization Histogram of Oriented Gradient Learning Vector Quantization Local Binary Pattern Smartphone

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Nickolas Cornelius Siantar
Janson Hendryli
Dyah Erny Herwindiati

Abstract

Phone or smartphone and online shop, there is something that cannot be separated with human. There are so many type of smartphones show up in the market that people are confused on which one to get on the online stores. Smartphones recognition is done by using the Histogram of Oriented Gradient to recognize shapes of phones, Color Quantization to recognize the color, and Local Binary Pattern to recognize texture of the phones. The output of the Feature Extractor is a feature vector which is used on the LVQ to process recognize through finding the smallest Euclidean Distance between the trained vectors. The result of this paper is an application that can recognize 16 phone types using the image with the accuracy of 9.6%

Article Details

Issue
Vol. 7 No. 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
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Articles

This work is licensed under a Jurnal Komunikasi Creative Commons Attribution-ShareAlike 4.0 International License.

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