DANNET: deep attention neural network for efficient ear identification in biometrics

Exploring foci of: PeerJ Computer Science • Vol 10 DANNET: deep attention neural network for efficient ear identification in biometrics December 2024 • Deepthy Mary Alex, Kurniawan Teguh Martono, Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, J. Chinna Babu, Ajmeera Kiran Biometric identification, particularly ear biometrics, has gained prominence amidst the global prevalence of mask-wearing, exacerbated by the COVID-19 outbreak. This shift has highlighted the need for reliable biometric systems that can function effectively even when facial features are partially obscured. Despite numerous proposed convolutional neural network (CNN) based deep learning techniques for ear detection, achieving the expected efficiency and accuracy remains a challenge. In this manuscript, we propose a… Open Article Page

Biometrics Computer Science Artificial Intelligence Convolutional Neural Network Segmentation Fault Deep Learning Machine Learning Social Science Botany Open Article