GazeNet : a lightweight multitask sclera feature extractor

Vitek, Matej (avtor), Štruc, Vitomir (avtor), Peer, Peter (avtor)

The sclera is a recently emergent biometric modality with many desirable characteristics. However, most literature solutions for sclera-based recognition rely on sequences of complex deep networks with significant computational overhead. In this paper, we propose a lightweight multitask-based sclera feature extractor. The proposed GazeNet network has a computational complexity below 1 GFLOP, making it appropriate for less capable devices like smartphones and head-mounted displays. Our experiments show that GazeNet (which is based on the SqueezeNet architecture) outperforms both the base SqueezeNet model as well as the more computationally intensive ScleraNET model from the literature. Thus, we demonstrate that our proposed gaze-direction multitask learning procedure, along with careful lightweight architecture selection, leads to computationally efficient networks with high recognition performance.

• Jezik: Angleški jezik
• Ključne besede: biometrics, ocular biometrics, sclera recognition, lightweight, feature extraction
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: Str. 661-671
• Številčenje: Vol. 112
• PID: 20.500.12556/RUL-165074
• UDK: 004.93:57.087.1
• ISSN pri članku: 1110-0168
• DOI: 10.1016/j.aej.2024.11.011
• COBISS.SI-ID: 215847939
• Datum objave v RUL: 22.11.2024

Gradivo je del revije

• Naslov: Alexandria Engineering Journal
• Skrajšan naslov: Alex. Eng. J.
• Založnik: Elsevier
• ISSN: 1110-0168
• COBISS.SI-ID: 6305307

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: biometrija, očesna biometrija, razpoznava beločnice, lahki modeli, luščenje značilk