QuickStroke: An Incremental On-line Chinese Handwriting Recognition System

This paper presents QuickStroke: a system for the incremental recognition of handwritten Chinese characters. Only a few strokes of an ideogram need to be entered in order for a character to be successfully recognized. Incremental recognition is a new approach for on-line recognition of ideographic characters. It allows a user to enter characters a factor of 2 times faster than systems that require entry of full characters. Incremental recognition is performed by a two-stage system which utilizes 68 neural networks with more than 5 million free parameters. To enable incremental recognition, we use specialized time-delay neural networks (TDNNs) that are trained to recognize partial characters. To boost the recognition accuracy of complete characters, we also use standard fully-connected neural networks. Quickstroke is 97.3% accurate for the incremental writer-independent recognition of 4400 simplified GB Chinese ideograms.

PDF file

Publisher  Institute of Electrical and Electronics Engineers, Inc.
© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.


> Publications > QuickStroke: An Incremental On-line Chinese Handwriting Recognition System