Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. KMITL
  3. Publication
  4. Signature verification using N-tuple learning machine
Loading...
Thumbnail Image

Signature verification using N-tuple learning machine

Author(s)
Maneechot, Thanin
Kitjaidure, Yuttana
Date Issued
January 1, 2005
Type
Conference Paper
DOI
10.1109/iembs.2005.1617053
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 uses N-tuple technique with Gaussian thresholding. © 2005 IEEE.
Citation
Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 7 VOLS, 2794-2797, 2005
Metrics
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback