Multiple writer retrieval systems based on language independent dissimilarity learning
作者：
Highlights：
• The paper focuses on writer retrieval in handwritten document datasets.
• New combination scheme based on dissimilarity learning is proposed.
• New features based on multi-scale Histogram of Templates are proposed.
• Introduce Multi-gradient Elongated Quinary Patterns for handwriting characterization.
• The combination results outperform the state of the art.
摘要
•The paper focuses on writer retrieval in handwritten document datasets.•New combination scheme based on dissimilarity learning is proposed.•New features based on multi-scale Histogram of Templates are proposed.•Introduce Multi-gradient Elongated Quinary Patterns for handwriting characterization.•The combination results outperform the state of the art.
论文关键词：Multi-Gradient elongated quinary patterns,Multiscale histogram of templates,Support vector machines,Training dissimilarities,Writer retrieval
论文评审过程：Received 12 February 2019, Revised 23 September 2019, Accepted 12 October 2019, Available online 16 October 2019, Version of Record 31 October 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113023
