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Muhammad Taufik
Sultan Agung Islamic University, Semarang, Central Java, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Comparison of Various Similarity Measures for Average Image Hash in Mobile Phone Application Sam Farisa Chaerul Haviana; Muhammad Taufik
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.992 KB) | DOI: 10.11591/eecsi.v3.1132

Abstract

One of the main issue in Content Based Image Retrieval (CIBR) is similarity measures for resulting image hashes. The main key challenge is to find the most benefits distance or similarity measures for calculating the similarity in term of speed and computing costs, specially under limited computing capabilities device like mobile phone. This study we utilize twelve most common and popular distance or similarity measures technique implemented in mobile phone application, to be compared and studied. The results show that all similarity measures implemented in this study was perform equally under mobile phone application. This gives more possibilities for method combinations to be implemented for image retrieval.
Co-Authors Sam Farisa Chaerul Haviana