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

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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.

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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

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