On ear-based human identification in the mid-wave infrared spectrum

作者：

Highlights：

• Collected thermal profile face database (using a middle-wave infrared “3-5 microns” camera).

• Developed a fully automated thermal ear recognition system for real-time human identification (works in day or night).

• Local Ternary Pattern yields (Rank-1 = 80.68% and 68.18%) using manually and automatically segmented ears respectively.

• Score-Level fusion of the Local Ternary Pattern (LTP) and Local Binary Pattern (LBP) enhanced the performance by ~ 5%.

摘要

•Collected thermal profile face database (using a middle-wave infrared “3-5 microns” camera).•Developed a fully automated thermal ear recognition system for real-time human identification (works in day or night).•Local Ternary Pattern yields (Rank-1 = 80.68% and 68.18%) using manually and automatically segmented ears respectively.•Score-Level fusion of the Local Ternary Pattern (LTP) and Local Binary Pattern (LBP) enhanced the performance by ~ 5%.

论文关键词：Thermal infrared imaging,Thermal ear features,Score level fusion and multi-biometrics

论文评审过程：Received 25 October 2012, Revised 8 March 2013, Accepted 3 June 2013, Available online 24 June 2013.

论文官网地址：https://doi.org/10.1016/j.imavis.2013.06.001