DCWI: Distribution descriptive curve and Cellular automata based Writer Identification

作者：

Highlights：

• A new Distribution Descriptive Curve and Cellular Automata based model is proposed for writer identification.

• DDC uses the concept of the pixel distribution text images for generating a unique curve.

• These curve is used to generate features.

• Cellular automata based features is also used for writer identification.

• The modal has been evaluated on four databases (IAM, IFN/ENIT, Kannada and Devnagri (Hindi) script.

摘要

•A new Distribution Descriptive Curve and Cellular Automata based model is proposed for writer identification.•DDC uses the concept of the pixel distribution text images for generating a unique curve.•These curve is used to generate features.•Cellular automata based features is also used for writer identification.•The modal has been evaluated on four databases (IAM, IFN/ENIT, Kannada and Devnagri (Hindi) script.

论文关键词：Writer identification,Feature extraction,Cellular automata,Support vector machine

论文评审过程：Received 6 October 2018, Revised 20 March 2019, Accepted 21 March 2019, Available online 21 March 2019, Version of Record 1 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.037