In-air handwritten Chinese character recognition with locality-sensitive sparse representation toward optimized prototype classifier

作者：

Highlights：

• We present a new classifier, named LSROPC.

• We apply the LSROPC to in-air handwritten Chinese character recognition (IAHCCR).

• We built the IAHCC-UCAS2016 dataset for IAHCCR.

• The LSROPC can be applied to other fields.

摘要

•We present a new classifier, named LSROPC.•We apply the LSROPC to in-air handwritten Chinese character recognition (IAHCCR).•We built the IAHCC-UCAS2016 dataset for IAHCCR.•The LSROPC can be applied to other fields.

论文关键词：Locality-sensitive sparse representation based classification,In-air handwritten Chinese character recognition,Minimum classification error,Handwritten Chinese character recognition

论文评审过程：Received 25 November 2016, Revised 15 January 2018, Accepted 24 January 2018, Available online 31 January 2018, Version of Record 7 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.01.021