Publisher's Synopsis
Gender classification and age prediction are pivotal tasks in computer vision with profound implications. In this book, the author explores the challenges posed by factors like face masks, which obscure crucial facial features and introduces the "PeriGender" model. This model focuses on the periocular region around the eyes, leveraging deep learning techniques to achieve remarkable accuracy in gender classification. The author extends this work to age prediction, creating the "PeriAge" model, and combines both models to form the "PeriOcular" model, offering new insights and approaches for facial recognition systems. This book is a significant advancement in the field, providing a comprehensive understanding of these complex tasks and their practical applications.
