A Hand Gesture Approach to Biometrics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Nahumi Nugrahaningsih , Marco Porta , Giuseppe Scarpello

ABSTRACT

In this paper we present a biometric technique based on hand gestures. By means of the Microsoft Kinect sensor, the user’s hand is tracked while following a circle moving on the screen. Both 3D data about the position of the hand and 2D data about the position of the screen pointer are provided to different classifiers (SVM, Naive Bayes, Classification Tree, KNN, Random Forest and Neural Networks). Experiments carried out with 20 testers have demonstrated that the method is very promising for both identification and verification (with success rates above 90%), and can be a viable biometric solution, especially for soft biometric applications. More... »

PAGES

51-58

Book

TITLE

New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops

ISBN

978-3-319-23221-8
978-3-319-23222-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-23222-5_7

DOI

http://dx.doi.org/10.1007/978-3-319-23222-5_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043948667


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