FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network

arXiv:2403.16202v1 Announce Type: new
Abstract: Biometric authentication, which utilizes contactless features, such as forehead patterns, has become increasingly important for identity verification and access management. The proposed method is based on learning a 3D spatio-spatial temporal convolution to create detailed pictures of forehead patterns. We introduce a new CNN model called the Forehead Spatio-Spatial Temporal Network (FH-SSTNet), which utilizes a 3D CNN architecture with triplet loss to capture distinguishing features. We enhance the model's discrimination capability using Arcloss in the …

abstract access management arxiv authentication become biometric biometric authentication cnn convolution cs.cv features identity identity verification management network patterns spatial temporal type verification