1 November 1997 Off-line writer verification utilizing multiple neural networks
Author Affiliations +
Optical Engineering, 36(11), (1997). doi:10.1117/1.601550
Abstract
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.
Kai Huang, Jing Wu, Hong Yan, "Off-line writer verification utilizing multiple neural networks," Optical Engineering 36(11), (1 November 1997). https://doi.org/10.1117/1.601550
JOURNAL ARTICLE
7 PAGES


SHARE
RELATED CONTENT

Search engine for handwritten documents
Proceedings of SPIE (January 17 2005)
An applied study of human detection in single images
Proceedings of SPIE (November 15 2011)
Document matching on CCITT Group 4 compressed images
Proceedings of SPIE (April 03 1997)

Back to Top