標題: Recognition of handwritten Chinese characters by self-growing probabilistic decision-based neural networks
作者: Fu, HC
Xu, YY
資訊工程學系
Department of Computer Science
關鍵字: Bayesian decision-based neural networks;Self-growing Probabilistic Decision-based Neural Networks;supervised learning;optical character recognition
公開日期: 1998
摘要: In this paper, we present a Bayesian decision-based neural networks (BDNN) for handwritten Chinese character recognition. The proposed Self-growing Probabilistic Decision-based Neural Networks (SPDNN) adopts a hierarchical network structure with nonlinear basis functions and a competitive credit-assignment scheme. Our prototype system demonstrates a successful utilization of SPDNN to the handwriting of Chinese character recognition on the public databases, CCL/HCCR1 and in house database (NCTU/NNL). Regarding the performance, experiments on three different databases all demonstrated high recognition (86 similar to 94%) accuracy as well as low rejection/acceptance (6.7%) rates. As to the processing speed, the whole recognition process (including image preprocessing feature extraction, and recognition) consumes approximately 0.27 second/character on a Pentium-100 based personal computer, without using hardware accelerator or co-processor.
URI: http://hdl.handle.net/11536/19453
http://dx.doi.org/10.1117/12.311079
ISBN: 0-8194-2876-0
ISSN: 0277-786X
DOI: 10.1117/12.311079
期刊: INPUT/OUTPUT AND IMAGING TECHNOLOGIES
Volume: 3422
起始頁: 134
結束頁: 145
Appears in Collections:Conferences Paper


Files in This Item:

  1. 000077456300015.pdf