Out of vocabulary word detection and recovery in Arabic handwritten text recognition

作者：

Highlights：

• A novel two-step OOV words detection and recovery method is proposed.

• The proposed method is generic and independent of the recognition engine.

• The proposed method uses various sub-lexical modeling to improve the detection step.

• The recovery process relies on dynamic lexicons built from large text corpora.

• The proposed method significantly improves the recognition results.

摘要

•A novel two-step OOV words detection and recovery method is proposed.•The proposed method is generic and independent of the recognition engine.•The proposed method uses various sub-lexical modeling to improve the detection step.•The recovery process relies on dynamic lexicons built from large text corpora.•The proposed method significantly improves the recognition results.

论文关键词：Arabic Handwriting recognition,Out of vocabulary detection and recovery,Static lexicon,Dynamic lexicon,Statistical language model,Deep learning,Multi-dimensional long short term memory network

论文评审过程：Received 10 July 2018, Revised 18 April 2019, Accepted 1 May 2019, Available online 1 May 2019, Version of Record 10 May 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.05.003