DocumentCode :
2772422
Title :
The Analysis of Pen Inputs of Handwritten Symbols using Self Organizing Maps and its Application to User Authentication
Author :
Dozono, Hiroshi ; Nakakuni, Masanoro ; Sanada, Hiroaki ; Noguchi, Yoshio
Author_Institution :
Saga Univ., Saga
fYear :
0
fDate :
0-0 0
Firstpage :
2577
Lastpage :
2582
Abstract :
To realize ubiquitous computing, mobile computers such as PDAs and smart phones will be important components. However, the mobile computers tend to be used without authentication because they should be usable as soon as the power becomes on. In this paper, we propose an authentication method without losing the usability of PDA. With this method, the user is authenticated using the pen pressure pattern measured by tracing the symbols which are displayed on the screen with stylus. From the analyses of pen pressure patterns using self organizing maps, the symbols which are suitable for authentication are selected. 70% of the users can be authenticated by this method from the authentication experiments using the symbols.
Keywords :
handwriting recognition; message authentication; notebook computers; self-organising feature maps; ubiquitous computing; handwritten symbol; pen pressure pattern; self organizing map; ubiquitous computing; user authentication; Application software; Authentication; Mobile computing; Personal digital assistants; Pervasive computing; Pressure measurement; Self organizing feature maps; Smart phones; Ubiquitous computing; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.247133
Filename :
1716443
Link To Document :
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