NDLI: Cognitive-based online face matching system

Content Provider	IEEE Xplore Digital Library
Author	Teik-Toe Teoh Kiat-Han Kok Murthy, O.V.R. Siu-Yeung Cho Yok-Yen Nguwi
Copyright Year	2011
Description	Author affiliation: Sch. of Bus. (IT), James Cook Univ., Singapore, Singapore (Teik-Toe Teoh; Yok-Yen Nguwi) \|\| Div. of Eng., Univ. of Nottingham Ningbo, Ningbo, China (Siu-Yeung Cho) \|\| Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore (Kiat-Han Kok; Murthy, O.V.R.)
Abstract	Social network service provides means for users to interact over the Internet. Early social networking on Internet began in the form of generalized online communities such as Geocities (1994) and Tripod.com (1995). Social network makes it possible to connect people who share interests and activities across geographical borders. The most successful social network today is facebook.com, which ties together 750 million active users around the world. The recent Google+ attempts to dethrone Facebook provide similar functionalities and search capability. 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 appear 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%.
Sponsorship	IEEE
Starting Page	715
Ending Page	720
File Size	344373
Page Count	6
File Format	PDF
ISBN	9781457704727
e-ISBN	9788988678558
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-29
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	Accuracy Databases Face recognition Euclidean distance Face match Face search Vectors Face Facebook Gabor
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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