|Title:||Study of long-term quality of online signature verification systems||Authors:||Kutzner, Tobias
Travieso, Carlos M.
Dutta, Malay Kishore
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Online Handwrting
|Issue Date:||2017||Journal:||2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016||Conference:||2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016||Abstract:||Real handwriting authentication systems need a robust writer identification over a long time period. The paper analyzes signature sessions of the ATV-Signature Long Term Database (ATV-SLT DB). The database contains 6 sessions generated by 27 users over 15 month. The quality change of the verification results over a period of 15 month is examined. 64static and dynamic biometric features from the ATV-SLT DB sessions are extracted and 3 different classifiers are used. For the impostor test a 7th session is added, the impostor session, with 6 signatures for each user. The best result of 99.17% success rate for a correct classification is reached with the k-Nearest Neighbor classifier. The best result of 2.47% false accepted rate is reached with Naïve Bayes classifier.||URI:||http://hdl.handle.net/10553/48807||ISBN:||9781509032105||DOI:||10.1109/CCIntelS.2016.7878206||Source:||2nd International Conference on Communication, Control and Intelligent Systems, CCIS 2016 (7878206), p. 85-88|
|Appears in Collections:||Actas de congresos|
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