A comprehensive survey and deep learning-based approach for human recognition using ear biometric

• Published in: The Visual computer Vol. 38; no. 7; pp. 2383 - 2416
• Main Authors: Kamboj, Aman, Rani, Rajneesh, Nigam, Aditya
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022; Springer Nature B.V
• Subjects: Access control; Artificial Intelligence; Biometrics; Computer Graphics; Computer Science; Cooperation; COVID-19; Deep learning; Ear; Image Processing and Computer Vision; Performance evaluation; Physiology; Sensors; Surveillance; Survey; Taxonomy; Teaching methods; Deep learning; Biometric; Wild; Ear; Handcrafted; Detection; Unconstrained; Recognition

Human recognition systems based on biometrics are much in demand due to increasing concerns of security and privacy. The human ear is unique and useful for recognition. It offers numerous advantages over popular biometrics traits face, iris, and fingerprints. A lot of work has been attributed to ear...