Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark
作者：
Highlights：
• Comprehensive study of handwritten Chinese character recognition (HCCR).
• New benchmarks for both online and offline HCCR under a general framework.
• Combination of convNet and domain-specific knowledge of directMap.
• Writer adaptation of deep convolutional neural networks.
• State-of-the-art performance on the ICDAR-2013 competition database.
摘要
Highlights•Comprehensive study of handwritten Chinese character recognition (HCCR).•New benchmarks for both online and offline HCCR under a general framework.•Combination of convNet and domain-specific knowledge of directMap.•Writer adaptation of deep convolutional neural networks.•State-of-the-art performance on the ICDAR-2013 competition database.
论文关键词：Handwriting recognition,Chinese characters,Online,Offline,Directional feature map,Convolutional neural network,Adaptation
论文评审过程：Received 30 April 2016, Revised 5 August 2016, Accepted 6 August 2016, Available online 9 August 2016, Version of Record 21 August 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.08.005
