METASYNTHETIC APPROACH FOR HANDWRITTEN CHINESE CHARACTER RECOGNITION

Baihua Xiao (), Chunheng Wang and Ruwei Dai ()
Additional contact information
Baihua Xiao: AI Lab, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China
Chunheng Wang: AI Lab, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China
Ruwei Dai: AI Lab, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China

International Journal of Information Technology & Decision Making (IJITDM), 2002, vol. 01, issue 04, 621-633

Abstract: The metasynthetic approach for solving complicated problems was proposed in 1990.1And the characteristics of metasynthetic approach can be summarized as human-machine cooperation and integration. Directed by the idea of metasynthesis, the design of two kinds of handwritten Chinese character recognition systems are given in this article. All the designs focus on incorporating human knowledge into multiple classifier combination, which is different from conventional integration. The first one is multi-stage adaptive weighted multiple classifier combination, in which a neural network for coefficient predicting is trained by supervised learning to provide weights suitable for the input pattern. And the second scheme is based on totally parallel combination, in which human intelligence and computer capabilities are combined together through multi-step supervised learning. The experimental results demonstrate substantial improvement in overall performance for handwritten Chinese character recognition with thousands of classes that must be discriminated.

Keywords: Metasynthesis; handwritten Chinese character recognition (HCCR); parallel integration; adaptive weighted integration; human-machine integration; supervised learning (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622002000488
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:01:y:2002:i:04:n:s0219622002000488

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622002000488

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().