Multidimensional nearest neighbors classification based system for incomplete lip print identification

作者：

Highlights：

• An algorithm for determining the lip-print images quality has been proposed.

• Classification method not requiring data imputation has been developed.

• Presented approach is characterized by high efficiency which is confirmed by the tests.

摘要

•An algorithm for determining the lip-print images quality has been proposed.•Classification method not requiring data imputation has been developed.•Presented approach is characterized by high efficiency which is confirmed by the tests.

论文关键词：Biometrics,Lip print recognition,Person identification,Incomplete data

论文评审过程：Received 2 June 2021, Revised 30 December 2021, Accepted 29 March 2022, Available online 20 April 2022, Version of Record 10 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117137