Latent in the Wild Fingerprint Recognition Competition

This paper presents a summary of the Latent in the Wild Fingerprint Recognition Competition held at the 2024 International Joint Conference on Biometrics (IJCB 2024). The competition attracted a total of 6 participating teams from academia and industry, representing 6 countries. In total, 3 valid submissions were evaluated by the organizers. The competition aimed to advance the state-of-the-art in latent fingerprint recognition by providing a challenging dataset of latent fingerprints collected in natural, non-ideal conditions. This paper summarizes the dataset, evaluation criteria, participant methods, and the competition results.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/ijcb62174.2024.10744510
Citations
1
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
0.35

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Abstract

This paper presents a summary of the Latent in the Wild Fingerprint Recognition Competition held at the 2024 International Joint Conference on Biometrics (IJCB 2024). The competition attracted a total of 6 participating teams from academia and industry, representing 6 countries. In total, 3 valid submissions were evaluated by the organizers. The competition aimed to advance the state-of-the-art in latent fingerprint recognition by providing a challenging dataset of latent fingerprints collected in natural, non-ideal conditions. This paper summarizes the dataset, evaluation criteria, participant methods, and the competition results.

Zhejiang Wanli University (CN), University of Ljubljana (SI), NTNU Samfunnsforskning (NO)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 42%
Biometric Identification and Security
0.35
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