Enhancing CNN for Forensics Age Estimation Using CGAN and Pseudo-Labelling

• Main Authors: Alkaabi S., Yussof S., Al-Mulla S.
• Other Authors: 59070935100
• Format: Article
• Published: Tech Science Press 2024
• Subjects: age estimation; convolutional neural network; Dental forensics; generative adversarial network; pseudo-labelling; Convolution; Convolutional neural networks; Deep learning; Digital forensics; Image enhancement; Neural network models; Age estimation; Convolutional neural network; Dental forensic; Dental images; Forensic odontology; Human expert; Labelings; Neural network model; Pseudo-labeling; Synthetic images; Generative adversarial networks
• Institution: Universiti Tenaga Nasional

Age estimation using forensics odontology is an important process in identifying victims in criminal or mass disaster cases. Traditionally, this process is done manually by human expert. However, the speed and accuracy may vary depending on the expertise level of the human expert and other human fac...