Off-line writer verification utilizing multiple neural networks

Kai Huang; Jing Wu; Hong Yan

doi:10.1117/1.601550

1 November 1997 Off-line writer verification utilizing multiple neural networks

Kai Huang, Jing Wu, Hong Yan

Optical Engineering, Vol. 36, Issue 11, (November 1997). https://doi.org/10.1117/1.601550

A writer verification system based on multiple neural network classifiers is described, aimed to be easily extendable. Each writer registers with the system by writing a set of discrete Chinese characters. One neural network is constructed for each enrolled character class on a per-person or a per-subgroup basis. The decisions from individual network classifiers are combined by voting. The method has been verified to work reliably on our testing database: a verification rate above 96% is achieved on short-term data.

Citation Download Citation

Kai Huang, Jing Wu, and Hong Yan "Off-line writer verification utilizing multiple neural networks," Optical Engineering 36(11), (1 November 1997). https://doi.org/10.1117/1.601550

Published: 1 November 1997

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