A Novel Algorithm for Handwritten Chinese Character Recognition

Authors:
Feng Qi;Minghua Deng;Minping Qian;Xueqing Zhu
Affiliations:
-;-;-;-
Venue:
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Year:
2000

Citing 3
Cited 0

On the relationship of the Markov mesh to the NSHP Markov chain

Pattern Recognition Letters
The State of the Art in Online Handwriting Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

2-D HMM methods have recently been applied to handwritten Chinese character recognition(HCCR) with much practical prospect, however, the time consuming is a great obstacle for its widely using. To overcome this weakness a novel block-based ICM algorithm, which will decode image block by block other than pixel by pixel, is proposed. Experiments shows that it can work much better than the traditional one for HCCR with a little higher accuracy and much higher speed of recognition. It offers a great potential for HCCR when using truly-2D HMM.