On-line signature verification based on dynamic segmentation and       global and local matching

Kai Huang; Hong Yan

doi:10.1117/12.215474

1 December 1995 On-line signature verification based on dynamic segmentation and global and local matching

Kai Huang, Hong Yan

Author Affiliations +

Optical Engineering, Vol. 34, Issue 12, (December 1995). https://doi.org/10.1117/12.215474

Abstract

We propose a method for signature verification based on natural-handwriting motion segmentation. Dynamic segmentation of the handwriting motion in accordance with motor commands is used to better correlate authentic signatures and to better reject forged ones. Utilization of personalized adaptive thresholds in signature segmentation and verification stages proves to produce good dissimilarity measures. Experiments show that 90% correct classification can be achieved.

Citation Download Citation

Kai Huang and Hong Yan "On-line signature verification based on dynamic segmentation and global and local matching," Optical Engineering 34(12), (1 December 1995). https://doi.org/10.1117/12.215474

Published: 1 December 1995

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available