Holistic word descriptor for lexicon reduction in handwritten arabic documents

作者：

Highlights：

• Most of word recognition systems rely on a pre-defined lexicon in aims to achieve high performance leading to high computational cost as the lexicon is grown.

• This work proposes a holistic word descriptor for word lexicon reduction in Arabic handwritten documents.

• The proposed descriptor represents geometrical features of word shape based on Multi-scale Convexity Concavity analysis.

• For word recognition, the basic contour matching is extended to achieve word-to-word matching.

摘要

•Most of word recognition systems rely on a pre-defined lexicon in aims to achieve high performance leading to high computational cost as the lexicon is grown.•This work proposes a holistic word descriptor for word lexicon reduction in Arabic handwritten documents.•The proposed descriptor represents geometrical features of word shape based on Multi-scale Convexity Concavity analysis.•For word recognition, the basic contour matching is extended to achieve word-to-word matching.

论文关键词：Word descriptor,Local shape descriptor,Lexicon reduction,Multi-scale representation,Contour matching,Arabic handwritten documents,

论文评审过程：Received 23 March 2020, Revised 23 March 2021, Accepted 27 May 2021, Available online 6 June 2021, Version of Record 22 June 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108072