HMM-based writer identification in music score documents without staff-line removal

作者：

Highlights：

• A writer identification system in musical documents without removing staff-lines.

• An improved feature selection method for better writer identification performance.

• An efficient musical score-line segmentation using HMM is proposed.

• The system has been tested for writer identification in historical musical documents.

摘要

•A writer identification system in musical documents without removing staff-lines.•An improved feature selection method for better writer identification performance.•An efficient musical score-line segmentation using HMM is proposed.•The system has been tested for writer identification in historical musical documents.

论文关键词：Music score documents,Writer identification,Hidden Markov model,Factor analysis

论文评审过程：Received 2 March 2017, Revised 20 July 2017, Accepted 21 July 2017, Available online 27 July 2017, Version of Record 31 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.031