DocumentCode :
705853
Title :
Study of possibility of on-pen matching for biometric handwriting verification
Author :
Scheidat, Tobias ; Vielhauer, Claus ; Dittmann, Jana
Author_Institution :
Fac. of Comput. Sci., Otto-von-Guericke Univ. Magdeburg, Magdeburg, Germany
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
184
Lastpage :
188
Abstract :
In this article the possibility of a biometric on-pen matching for dynamic handwriting-based user authentication is proposed. The approach is based on a digitizer pen originally designed to sample handwritten notes. In a first step the general ability with respect to recognition accuracy is studied to use the digitizer pen (also de-noted as smart pen) for biometric dynamic handwriting acquisition. The evaluation show that the digitizer pen results in similar outcomes as special online signature tablets regarding the chosen measurement, the equal error rate (EER). The second step considers a conceptional study of embedding an authentication algorithm within smart cards, which could be integrated into the pen hardware, thus allowing for on-card matching. In this second analysis, the focus is to study the feasibility of implementing a reference verification algorithm on-card with respect to its computational complexity. The suggested approach will further allow future authentication scenarios, whereby biometrics, secret knowledge and personal possession can be combined. While the possession aspect is maintained due to the fact that the entire authentication system is integrated in the smart pen and remains in ownership of users, the factor of secret knowledge can be integrated by alternative handwritten contents such as personal identification numbers, generally called semantics.
Keywords :
handwriting recognition; image matching; biometric dynamic handwriting acquisition; biometric handwriting verification; computational complexity; dynamic handwriting-based user authentication; equal error rate; on-card matching; on-pen matching; special online signature tablets; Authentication; Complexity theory; Feature extraction; Semantics; Signal processing algorithms; Smart cards; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7098789
Link To Document :
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