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Dedy Kurniadi
Informatics Engineering Department, Universitas Islam Sultan Agung, Semarang, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Average Hashing for Perceptual Image Similarity in Mobile Phone Application Sam Farisa Chaerul Haviana; Dedy Kurniadi
Journal of Telematics and Informatics Vol 4, No 1: March 2016
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.971 KB) | DOI: 10.12928/jti.v4i1.

Abstract

Common problem occurs in almost all mobile devices was duplicated data or files. Such as duplicated images that often happen by event like capturing perceptually similar photos by the user, or images that shared several times in messaging applications chat groups. This common problem can be solved by manually search and remove the duplicated images one by one by the users, but better solutions is by building automated application that search perceptually similar images then provide the result to the users. We study and implementing Average Hashing and Hamming distance for perceptual image similarity into application under mobile phone platform to realize the solution for the problem. The result was very promising in speed and accuracy for finding perceptually similar images under limited resources device like mobile phone.
Co-Authors Sam Farisa Chaerul Haviana