Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48808
Title: User verification using safe handwritten passwords on smartphones
Authors: Kutzner, Tobias
Ye, Fanyu
Bönninger, Ingrid
Travieso, Carlos 
Dutta, Malay Kishore
Singh, Anushikha
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biometric
Verification
Feature Selection
Classification
Issue Date: 2015
Journal: 2015 8th International Conference on Contemporary Computing, IC3 2015
Conference: 8th International Conference on Contemporary Computing, IC3 2015 
Abstract: This article focuses on the writer verification using safe handwritten passwords on smartphones. We extract and select 25 static and dynamic biometric features from a handwritten character password sequence on an android touch-screen device. For the writer verification we use the classification algorithms of WEKA framework. Our 32 test persons wrote generated safe passwords with a length of 8 characters. Each person wrote their password 12 times. The approach works with 384 training samples on a supervised system. The best result of 98.72% success rate for a correct classification, the proposal reached with the KStar and k- Nearest Neighbor classifier after ranking with Fisher Score feature selection. The best result of 10.42% false accepted rate is reached with KStar classifier.
URI: http://hdl.handle.net/10553/48808
ISBN: 9781467379489
ISSN: 2572-6110
DOI: 10.1109/IC3.2015.7346651
Source: 2015 8th International Conference on Contemporary Computing, IC3 2015 (7346651), p. 48-53
Appears in Collections:Actas de congresos
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