A model-based approach to offline text-independent Arabic writer identification and verification

作者：

Highlights：

• Universal synthetic codebooks are used for writer identification and verification.

• The beta-elliptic handwriting generation model is used to create the codebooks.

• Neither corpus-driven training nor prior segmentation is needed in this approach.

• Synthetic codebook demonstrated good generalization capabilities for Arabic.

摘要

Highlights•Universal synthetic codebooks are used for writer identification and verification.•The beta-elliptic handwriting generation model is used to create the codebooks.•Neither corpus-driven training nor prior segmentation is needed in this approach.•Synthetic codebook demonstrated good generalization capabilities for Arabic.

论文关键词：Writer identification and verification,Computational generation model,Beta-elliptic model,Feature generation,Grapheme codebook,Template matching

论文评审过程：Received 10 April 2014, Revised 9 October 2014, Accepted 20 October 2014, Available online 28 October 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.10.027