• AttenGait: Gait recognition with attention and rich modalities 

    Castro, Francisco M.; Delgado-Escaño, Rubén; Hernández-García, Ruber; Marín-Jiménez, Manuel J.; Guil, Nicolás (2024)
    Current gait recognition systems employ different types of manual attention mechanisms, like horizontal cropping of the input data to guide the training process and extract useful gait signatures for people identification. ...

  • CNN-based model for gender and age classification based on palm vein images 

    Hernández-García, Ruber; Feng, Zheng; Barrientos, Ricardo ORCID; Castro, Francisco Manuel; Ramos-Cózar, Julián; Guil, Nicolás (2022)
    Automatically predicting gender and age group from biometrics traits is an essential and challenging task in many real-world applications. There are several works about using machine learning methods to identify human ...

  • From synthetic data to real palm vein identification: a fine-tuning approach 

    Hernández-García, Ruber; Salazar-Jurado, Edwin; Barrientos, Ricardo ORCID; Castro, Francisco Manuel; Ramos-Cózar, Julián; Guil, Nicolás (2023)
    Palm vein recognition has relevant advantages in comparison with most traditional biometrics, such as high security and recognition performance. In recent years, CNN-based models for vascular biometrics have improved the ...