Ear Biometrics Using Deep Learning: A Survey

Table 9

Cont. differences between this review article and the recent/existing review papers.

Author(s) and date of publication	Paper title	Aim/focus/objective	Paper coverage (year) and scope
(9) Alkababji and Mohammed [69] 1 April 2021	Real-time ear recognition using deep learning	It used the principal component analysis (PCA) and a genetic algorithm for feature reduction and selection	Twenty-three (23) application papers that are deep learning ear identification methods are reviewed in this paper
(10) Jamil et al. [70] 1 August 2018	Can convolution neural network (CNN) triumph in ear recognition of uniform illumination invariant?	They considered that their work was the first to test the performance of CNN on very underexposed or overexposed images	Thirty-two (32) application papers that are deep learning ear identification methods are reviewed in this paper
(11) Hansley et al. [71] 24 October 2017	Employing fusion of learned and handcrafted features for unconstrained ear recognition	This was conducted using handcrafted descriptors, which were fused to improve recognition	Thirty-one (31) application papers that are deep learning ear identification methods are reviewed in this paper