Improved ear verification after surgery - An approach based on collaborative representation of locally competitive features
作者：
Highlights：
• Presents a comprehensive study for biometric verification performance of ears before and after surgery.
• Extensive study on different type of ear-surgery is presented along with a new public ear database.
• Presents a new feature extraction technique based on Topographic Locally Competitive Algorithm.
• Demonstrates superior verification performance on both normal ear database and surgically modified ear database.
• Discussion on computational complexity and state-of-art performance.
摘要
•Presents a comprehensive study for biometric verification performance of ears before and after surgery.•Extensive study on different type of ear-surgery is presented along with a new public ear database.•Presents a new feature extraction technique based on Topographic Locally Competitive Algorithm.•Demonstrates superior verification performance on both normal ear database and surgically modified ear database.•Discussion on computational complexity and state-of-art performance.
论文关键词：Ear recognition,Surgery,Locally competitive algorithm,Collaborative representation
论文评审过程：Received 16 December 2016, Revised 11 April 2018, Accepted 10 June 2018, Available online 18 June 2018, Version of Record 23 June 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2018.06.008
