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  4. Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023
 
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2023
Conference Paper
Title

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023

Abstract
This paper presents the summary of the Sclera Segmentation and Joint Recognition Benchmarking Competition (SSRBC 2023) held in conjunction with IEEE International Joint Conference on Biometrics (IJCB 2023). Different from the previous editions of the competition, SSRBC 2023 not only explored the performance of the latest and most advanced sclera segmentation models, but also studied the impact of segmentation quality on recognition performance. Five groups took part in SSRBC 2023 and submitted a total of six segmentation models and one recognition technique for scoring. The submitted solutions included a wide variety of conceptually diverse deep-learning models and were rigorously tested on three publicly available datasets, i.e., MASD, SBVPI and MOBIUS. Most of the segmentation models achieved encouraging segmentation and recognition performance. Most importantly, we observed that better segmentation results always translate into better verification performance.
Author(s)
Das, Abhijit
Birla Institute of Technology and Science, Pilani
Atreya, Saurabh
Birla Institute of Technology and Science, Pilani
Mukherjee, Aritra
Birla Institute of Technology and Science, Pilani
Vitek, Matej
University of Ljubljana  
Haiqing, Li
Beijing University of Civil Engineering and Architecture
Wang, Caiyong
Beijing University of Civil Engineering and Architecture
Zhao, Guangzhe
Beijing University of Civil Engineering and Architecture
Boutros, Fadi  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Siebke, Patrick  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kolf, Jan Niklas  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Sun, Ye
Jilin University
Lu, Hexin
Jilin University
Aobo, Fan
Jilin University
Sheng, You
Jilin University
Nathan , Sabari
Cougar Inc
Suganya, R.
Vellore Institure of Technology
Rampriya, R.S.
Vellore Institure of Technology
Sharma, Geetanjali
Indian Institute of Technology, Mandi
Priyanka, P.
Indian Institute of Technology, Mandi
Nigam, Aditya
Indian Institute of Technology, Mandi
Peer, Peter
University of Ljubljana
Pal, Umapada
Indian Statistical Institute, Kolkata
Štruc, Vitomir
University of Ljubljana  
Mainwork
IEEE International Joint Conference on Biometrics, IJCB 2023  
Project(s)
Next Generation Biometric Systems  
Next Generation Biometric Systems  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Hessisches Ministerium für Wissenschaft und Kunst -HMWK-  
Conference
International Joint Conference on Biometrics 2023  
DOI
10.1109/IJCB57857.2023.10448601
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Healthcare

  • Branche: Information Technology

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Research Line: Machine learning (ML)

  • LTA: Interactive decision-making support and assistance systems

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • LTA: Generation, capture, processing, and output of images and 3D models

  • Biometrics

  • Machine learning

  • Image segmentation

  • Eye tracking

  • Iris recognition

  • ATHENE

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