標題: | Multilinguistic handwritten character recognition by Bayesian 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;optical character recognition;self-growing probabilistic decision-based neural networks;supervised learning |
公開日期: | 1-十月-1998 |
摘要: | In this paper, we present a Bayesian decision-based neural network (BDNN) for multilinguistic handwritten character recognition, The proposed self-growing probabilistic decision-based neural network (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 and alphanumeric character recognition on both public databases (CCL/HCCR1 for Chinese and CEDAR for the alphanumerics) and in-house database (NCTU/NNL), Regarding the performance, experiments on three different databases all demonstrated high recognition (86-94%) accuracy as well as low rejection/acceptance (6.7%) rates. As for the processing speed, the whole recognition process (including image preprocessing, feature extraction, and recognition) consumes approximately 0.27 s/character on a Pentium-100 based personal computer, without using a hardware accelerator or coprocessor. |
URI: | http://dx.doi.org/10.1109/78.720379 http://hdl.handle.net/11536/150326 |
ISSN: | 1053-587X |
DOI: | 10.1109/78.720379 |
期刊: | IEEE TRANSACTIONS ON SIGNAL PROCESSING |
Volume: | 46 |
起始頁: | 2781 |
結束頁: | 2789 |
顯示於類別: | 期刊論文 |