Cite
Relevant features for gender classification in NIR periocular images.
MLA
Viedma, Ignacio, et al. “Relevant Features for Gender Classification in NIR Periocular Images.” IET Biometrics (Wiley-Blackwell), vol. 8, no. 5, Sept. 2019, pp. 340–50. EBSCOhost, https://doi.org/10.1049/iet-bmt.2018.5233.
APA
Viedma, I., Tapia, J., Iturriaga, A., & Busch, C. (2019). Relevant features for gender classification in NIR periocular images. IET Biometrics (Wiley-Blackwell), 8(5), 340–350. https://doi.org/10.1049/iet-bmt.2018.5233
Chicago
Viedma, Ignacio, Juan Tapia, Andres Iturriaga, and Christoph Busch. 2019. “Relevant Features for Gender Classification in NIR Periocular Images.” IET Biometrics (Wiley-Blackwell) 8 (5): 340–50. doi:10.1049/iet-bmt.2018.5233.