Ensemble of transfer learning and light-weight convolutional neural network model for an effective ear recognition system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09561-6.pdf
Reference56 articles.
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2. Alshazly H, Linse C, Barth E, Martinetz T (2019) Ensembles of deep learning models and transfer learning for ear recognition. Sensors 19(19):4139
3. Barra S, De Marsico M, Nappi M, Riccio D (2014) Unconstrained ear processing: what is possible and what must be done. Signal and image processing for biometrics. Springer, Berlin, Heidelberg, pp 129–190
4. Chang K, Bowyer KW, Sarkar S, Victor B (2003) Comparison and combination of ear and face images in appearance-based biometrics. IEEE Trans Pattern Anal Mach Intell 25(9):1160–1165
5. Chowdhury DP, Bakshi S, Guo G, Sa PK (2018) On the applicability of tunable filter bank based feature for ear biometrics: a study from constrained to unconstrained. J Med Syst 42(1):1–20
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