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Enhanced Face Recognition Method Performance on Android vs Windows Platform

Alsibai, Mohammad Hayyan and Hadi, Manap and Abdul Adam, Abdullah (2015) Enhanced Face Recognition Method Performance on Android vs Windows Platform. ARPN Journal of Engineering and Applied Sciences, 10 (23). 17479 -17485 . ISSN 1819-6608

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Abstract

Android is becoming one of the most popular operating systems on smartphones, tablet computers and similar mobile devices. With the quick development in mobile device specifications, it is worthy to think about mobile devices as current or - at least - near future replacement of personal computers. This paper presents an enhanced face recognition method. The method is tested on two different platforms using Windows and Android operating systems. This is done to evaluate the method and to compare the platforms. The platforms are compared according to two factors: development simplicity and performance. The target is evaluating the possibility of replacing personal computers using Windows operating system by mobile devices using Android operating system. Face recognition has been chosen because of the relatively high computing cost of image processing and pattern recognition applications comparing with other applications. The experiment results show acceptable performance of the method on Android platform.

Item Type: Article
Uncontrolled Keywords: face recognition, OpenCV, android, image processing, pattern recognition.
Subjects: T Technology > T Technology (General)
Faculty/Division: Centre of Excellence: Automotive Engineering Centre
Faculty of Engineering Technology
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 16 Feb 2016 07:50
Last Modified: 02 Feb 2018 07:07
URI: http://umpir.ump.edu.my/id/eprint/11923
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