Gender detection and identifying one's handwriting with handwriting analysis

作者：

Highlights：

• This study was designed to detect gender through writer's handwriting.

• The data set was formed through collecting 80 participants’ handwriting.

• 133 attributes were tested with J48 and ID3 algorithms.

• Gender detection through handwriting reached 93.75% success rate.

摘要

•This study was designed to detect gender through writer's handwriting.•The data set was formed through collecting 80 participants’ handwriting.•133 attributes were tested with J48 and ID3 algorithms.•Gender detection through handwriting reached 93.75% success rate.

论文关键词：Gender detection,Graphology,Data mining,Decision Tree,J48,ID3

论文评审过程：Received 12 July 2016, Revised 28 February 2017, Accepted 1 March 2017, Available online 1 March 2017, Version of Record 10 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.001