A generalized framework for recognition of expiration dates on product packages using fully convolutional networks

作者：

Highlights：

• A generalized framework for detecting and understanding expiration dates.

• A new DMY (Day, Month, Year) detection network for understanding expiration dates.

• The framework dealing with various expiration date formats and challenging cases.

• A novel dataset collection of expiry date images, consisting of six datasets.

摘要

•A generalized framework for detecting and understanding expiration dates.•A new DMY (Day, Month, Year) detection network for understanding expiration dates.•The framework dealing with various expiration date formats and challenging cases.•A novel dataset collection of expiry date images, consisting of six datasets.

论文关键词：Expiration date,Recognition,Date parser,Food safety,Convolutional network,Deep learning

论文评审过程：Received 3 February 2022, Revised 7 April 2022, Accepted 23 April 2022, Available online 5 May 2022, Version of Record 19 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117310