標題: Recognition of handwritten similar 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: similar character;self-growing probabilistic decision-based neural networks (SPDNN);OCR
公開日期: 1998
摘要: Recognition of similar (confusion) characters is a difficult pattern recognition problem. In this paper, we introduce neural network solution, that is capable of modeling minor differences among similar characters, and is robust to various personal handwriting styles. The Self-growing Probabilistic Decision-based Neural Networks (SPDNN) is a probabilistic type neural networks, which adopts a hierarchical network structures with nonlinear basis functions and a competitive credit-assignment scheme. Based on the SPDNN model, we constructed a three stage recognition system. The prototype system demonstrates a successful utilization of SPDNN to similar handwritten Chinese recognition on the public database CCL/HCCR1 (5401 characters x200 samples). Regarding the performance, experiments on the CCL/HCCR1 database demonstrated a 90.12% of recognition accuracy with no rejection, and 94.11% of accuracy with 6.7% rejection rates respectively.
URI: http://hdl.handle.net/11536/19529
ISBN: 0-7803-4860-5
期刊: IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE
起始頁: 1754
結束頁: 1759
Appears in Collections:Conferences Paper