|Title:||Writer identification on mobile device based on handwritten||Authors:||Kutzner, Tobias
Travieso, Carlos M.
Alonso, Jesús B.
Vásquez, Jose Luis
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Writer Identification
|Issue Date:||2013||Publisher:||Institute of Electrical and Electronics Engineers (IEEE)||Journal:||Proceedings - International Carnahan Conference on Security Technology||Conference:||47th International Carnahan Conference on Security Technology (ICCST)||Abstract:||This paper deals with exploring of the potential of writer identification by handwriting on a touch-screen phone for an application in access control systems. Our aim was to examine the possibility of writer recognition by a biometric model based on handwritten password. A mobile phone-server solution based on distributed blocks is proposed. The implemented approach performs a pre-processing block, in order to segment the handwritten password on the mobile phone. It also applies a feature extraction in order to have our biometric in-formation, running on the server. The classification is done with 10 online and offline features and is classified by a Naive Bayes classifier. We have used a database of 108 handwritten genuine (12 samples came from nine users) and 36 impostors (four false samples from nine users) written on a HTC Desire mobile phone with Android 2.2. The proposed system reached an accuracy of 96.87% in writer verification. The false acceptance rate of the proposed system is 11.11%.||URI:||http://hdl.handle.net/10553/44016||ISBN:||978-1-4799-0889-9||ISSN:||1071-6572||DOI:||10.1109/CCST.2013.6922063||Source:||Proceedings - International Carnahan Conference on Security Technology [ISSN 1071-6572], (6922063)|
|Appears in Collections:||Actas de congresos|
checked on Feb 21, 2021
checked on Feb 22, 2021