NDLI: TAG: A two-level framework for user authentication through hand gestures

Content Provider	IEEE Xplore Digital Library
Author	Gupta, A. Arora, A. Juneja, B.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Eng., Netaji Subhas Inst. of Technol., New Delhi, India (Gupta, A.) \|\| Dept. of Inf. Technol., Netaji Subhas Inst. of Technol., New Delhi, India (Arora, A.; Juneja, B.)
Abstract	Gesture-based interfaces are gaining attention from researchers worldwide owing to a user-friendly and natural mode of interaction. The direct use of hands as an input method is an attractive way to design Human-Computer interfaces. In scenarios where hand gestures are used to perform manipulation tasks on sensitive data, there is a need to authenticate a user. In this paper, we propose a two-level framework for addressing this need by augmenting the existing gesture recognition methodologies with hand biometrics. In the first level, the hand gesture is recognized by extracting Gesture-Specific Features (GSFs) from a video consisting of a gesture password. This is followed by the second level where the user is authenticated based on User-Specific Features (USFs). These GSFs and USFs together form a Feature Vector (FV) which is unique for every user. This is fed into LIBSVM for authentication purposes. Before an unknown or a malicious user tries to modify sensitive data, his presence is detected, he is denied access and a warning is sent to the registered user. The framework is tested using hand gestures derived from American Sign Language symbols. An overall accuracy rate of 95 percentage demonstrates the potentiality of TAG in access control through a hand gesture interface.
Starting Page	503
Ending Page	509
File Size	1016229
Page Count	7
File Format	PDF
e-ISBN	9781479901920
DOI	10.1109/IC3.2013.6612247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training LIBSVM Accuracy Biometrics (access control) Databases Gesture-Specific Features Authentication Feature extraction User-Specific Features Kernel User Authentication Hand Biometrics
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
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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
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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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TAG: A two-level framework for user authentication through hand gestures

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