DocumentCode :
2030761
Title :
On-line pen input signature verifier PPI (pen-position/pen-pressure/pen-inclination)
Author :
Komiya, Y. ; Matsumoto, T.
Author_Institution :
Dept. of Electr., Electron. & Comput. Eng., Waseda Univ., Tokyo, Japan
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
1236
Abstract :
An algorithm is proposed for pen-input online signature verification, incorporating pen-position, pen-pressure and pen-inclination trajectories. The algorithm considers the writer´s signature as a trajectory of pen-position, pen-pressure and pen-inclination which evolves over time, so that it is dynamic and biometric. Since the algorithm uses pen-trajectory information, it naturally needs to incorporate stroke number (number of pen-ups/pen-downs) variations as well as shape variations. The proposed scheme first generates templates from several authentic signatures of individuals. In the verification phase, the scheme computes a distance between the template and an input trajectory. Care needs to be taken in computing the distance function because: (i) the length of a pen input trajectory may be different from that of a template even if the signature is genuine; (ii) the number of strokes of a pen input trajectory may be different from that of the template, i.e., the number of pen-ups/pen-downs obtained may differ from that of the template even for an authentic signature. If the computed distance does not exceed a threshold value, the input signature is predicted to be genuine, otherwise it is predicted to be forgery. Preliminary experimental results look encouraging
Keywords :
feature extraction; handwriting recognition; handwritten character recognition; authentic signatures; distance function; forgery; input trajectory; online pen input signature verifier PPI; pen input trajectory; pen-input online signature verification; pen-position/pen-pressure/pen-inclination; shape variations; signature; stroke number; template generation; threshold value; verification phase; Application software; Biometrics; Degradation; Feature extraction; Fingerprint recognition; Forgery; Handwriting recognition; Iris; Retina; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
Type :
conf
DOI :
10.1109/ICONIP.1999.844720
Filename :
844720
Link To Document :
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