Deep Learning Utilized for Person Recognition Based on the Biometric Features of the Periocular Region

  • Leonardo Ferreira Nascimeno IFSP
  • Jones Mendonça de Souza IFSP


This article proposes the use of deep learning technologies to perform visual biometric recognition. The results obtained by convolutional neural networks trained to perform multi-class classification based on the visual features of the human periocular region are presented and discussed, in addition to being compared with results obtained using pattern recognition for biometric recognition from human iris textures.
Palavras-chave: Biometry, Artificial Intelligence, Computer Vision, Deep Learning, Periocular Region


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NASCIMENO, Leonardo Ferreira; SOUZA, Jones Mendonça de. Deep Learning Utilized for Person Recognition Based on the Biometric Features of the Periocular Region. In: WORKSHOP DE TRABALHOS DA GRADUAÇÃO - CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 35. , 2022, Natal/RN. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 101-104. DOI: