Biometric Trait
Biometric traits, unique biological characteristics used for individual identification, are a rapidly evolving field focused on improving accuracy and security of authentication systems. Current research emphasizes multimodal approaches, combining multiple traits (e.g., face, iris, gait, even breath patterns) and leveraging deep learning architectures like convolutional and recurrent neural networks for enhanced feature extraction and classification. This work is driven by the need for more robust and reliable identification methods across diverse applications, from border control and access control to personalized medicine and human-error prediction in industrial settings.
Papers
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