New face search for Android

Teoh, Teik Toe, Kok, Kiat Han, Oruganti, Venkata Ramana Murthy, Cho, Siu Yeung, and Nguwi, Yok Yen (2012) New face search for Android. International Journal of Intelligent Information Processing, 3 (2). pp. 32-39.

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Abstract

FaceSearch enables Facebook users to search for similar or familiar faces from his/her Friends list or from a database of photos based on the photos taken at a real-life meeting. Once a friend is found, the relevant contact details can be derived and this enables them to continue interacting with one another beyond that meeting. The current searching capability in social network is limited to search via name and email. The significance of this work is that we propose a new search method that opens new frontiers to existing search functions. We propose a unique FaceSearch system that allows user to search people from faces appears in a photo. Once similar faces are found or suggested from database, contact details of the person can be retrieved. FaceSearch uses a face recognition engine that reads Gabor features. Gabor kernels have its root on high similarity to human visual V1 processing. The Euclidean distance is used to show closest match. We developed a GUI that runs on Androids. The simple and yet effective design warrants reasonable processing speed and good recognition rate of about 80%.

Item ID: 22716
Item Type: Article (Refereed Research - C1)
ISSN: 2093-1964
Date Deposited: 16 Aug 2012 01:25
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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