DocumentCode
1617273
Title
Signature Verification Using N-tuple Learning Machine
Author
Maneechot, Thanin ; Kitjaidure, Yuttana
Author_Institution
Electron. Dept., King Mongkut´´s Inst. of Technol., Bangkok
fYear
2006
Firstpage
2794
Lastpage
2797
Abstract
This research presents new algorithm for signature verification using N-tuple learning machine. The features are taken from handwritten signature on digital tablet (on-line). This research develops recognition algorithm using four features extraction, namely horizontal and vertical pen tip position (x-y position), pen tip pressure, and pen altitude angles. Verification use s N-tuple technique with Gaussian thresholding
Keywords
Gaussian processes; feature extraction; handwriting recognition; learning (artificial intelligence); Gaussian thresholding; N-tuple learning machine; digital tablet; features extraction; handwritten signature; horizontal pen tip position; on-line signature verification; pen altitude angles; pen tip pressure; recognition algorithm; vertical pen tip position; Credit cards; Data acquisition; Data security; Feature extraction; Handwriting recognition; Helium; Image converters; Machine learning; Sampling methods; Transducers;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1617053
Filename
1617053
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