|Title:||User verification using safe handwritten passwords on smartphones||Authors:||Kutzner, Tobias
Dutta, Malay Kishore
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Biometric
|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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