A robust method for coarse classifier construction from a large number of basic recognizers for on-line handwritten Chinese/Japanese character recognition
作者：
Highlights：
• We propose a method for coarse classifier construction.
• It constructs a coarse classifier from 243 basic recognizers.
• The basic recognizers are obtained by different parameters.
• The architecture of the coarse classifier is a sequential cascade of basic recognizers.
• A genetic algorithm determines the best cascade.
摘要
•We propose a method for coarse classifier construction.•It constructs a coarse classifier from 243 basic recognizers.•The basic recognizers are obtained by different parameters.•The architecture of the coarse classifier is a sequential cascade of basic recognizers.•A genetic algorithm determines the best cascade.
论文关键词：On-line character recognition,Chinese character recognition,Japanese character recognition,Coarse classifier,Genetic algorithm
论文评审过程：Received 3 April 2012, Revised 22 May 2013, Accepted 13 August 2013, Available online 23 August 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.08.011
