RT info:eu-repo/semantics/conferencePaper T1 Impact of facial occlusions in age estimation algorithms for forensic applications A1 Carofilis Vasco, Roberto Andrés A1 Chaves, Deisy A1 Martínez Mendoza, Alicia A1 Fidalgo Fernández, Eduardo A1 González Castro, Víctor A1 Alegre Gutiérrez, Enrique A2 Blanco FernándezYolanda A2 Fernández VeigaManuel A2 Fernández VilasAna A2 FuentesJosé M. de A2 Ingenieria de Sistemas y Automatica K1 Cibernética K1 Ingeniería de sistemas K1 Age estimation K1 Deep Learning K1 Facial occlusion K1 CSEM K1 3304.05 Sistemas de Reconocimiento de Caracteres K1 1207.03 Cibernética AB [EN] Age estimation is a critical tool for identifying minors and potential offenders in Child Sexual Exploitation Materials (CSEM). However, deep learning methods, which are the current state-of-the-art for age estimation, have low accuracy in predicting the age of minors and older adults due to a lack of data in existing datasets. In addition, facial occlusion, used to hide victims’ identities in some CSEM, can further impact the accuracy of age estimators. This study evaluates the performance of six deep learningbased age estimators on facial images with and without occlusion. To simulate CSEM conditions, we used non-occluded datasets (i.e., FG-Net and APPA-REAL), and also synthetically occluded versions with black masks of these datasets. Results indicate that age estimators are more affected by eye occlusion than by mouth occlusion and facial occlusion affects minors and the elderly more than other age groups. This study could serve as a reference for the estimation of age in forensic applications such as victim profiling on CSEM. PB Universidade de Vigo SN 978-84-8158-970-2 LK https://hdl.handle.net/10612/20673 UL https://hdl.handle.net/10612/20673 NO Vasco, R. A. C., Sánchez, D. C., Mendoza, A. M., Fernández, E. F., Castro, V. G., & Gutiérrez, E. A. (2023). Impact of facial occlusions in age estimation algorithms for forensic applications. In Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023 (pp. 497-498). Universidade de Vigo. DS BULERIA. Repositorio Institucional de la Universidad de León RD 25-jun-2024