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Content Provider | IEEE Xplore Digital Library |
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Author | Kutzner, T. Travieso, C.M. Bonninger, I. Alonso, J.B. Vasquez, J.L. |
Copyright Year | 2013 |
Description | Author affiliation: Inst. de Investig. en Ing., Univ. of Costa Rica, San Jose, Costa Rica (Vasquez, J.L.) || Hochschule Lausitz [FH]-Univ. of Appl. Sci., Senftenberg, Germany (Kutzner, T.; Bonninger, I.) || Signals & Commun. Dept., Univ. of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain (Travieso, C.M.; Alonso, J.B.) |
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%. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 369330 |
Page Count | 5 |
File Format | |
ISBN | 9781479908899 |
ISSN | 21530742 |
DOI | 10.1109/CCST.2013.6922063 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-10-08 |
Publisher Place | Colombia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Feature extraction Mobile handsets Servers Handwriting recognition Mobile communication Educational institutions Databases Handwritten-based biometric Writer Identification Mobile Device |
Content Type | Text |
Resource Type | Article |
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