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Information Fusion and Hand Alignment to Improve Hand Recognition in Forensic Scenarios

  • In many forensic scenarios, criminals often attempt to conceal their identity by covering their face and other distinctive body parts. In such situations, physical evidence may, however, reveal other unique characteristics, e.g. hands, which can be used to identify offenders. In this context, several state-of-the-art biometric recognition systems have been proposed recently. These recognition systems offer high identification performance in restricted environments. However, in forensic scenarios, the environment is often unconstrained, making biometric identification considerably more difficult, with a consequent decrease in accuracy. In this article, we explore methods (e.g. hand alignment and information fusion) to improve the identification of subjects within forensic investigations. Experimental results show that explored techniques play an important role in the improvement of the identification performance of existing schemes: the combination of hand alignment and information fusion results in the highest Rank-1 identification performance improvement of up to 13.10% (i.e., 26.30% vs. 13.20%) and 16.30% (i.e., 77.00% vs. 60.70%) with respect to the baseline for the unconstrained databases NTU-PI_v1 and HaGRID, respectively ( https://github.com/ljsoler/IF-HA-HandRecognition ).

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Metadaten
Author:Lazaro Janier Gonzalez-SolerORCiD, Durita Kvilt Jónsdóttir, Christian RathgebORCiD, Daniel FischerORCiD
URN:urn:nbn:de:hebis:ds114-opus4-4491
DOI:https://doi.org/10.1109/ACCESS.2024.3386955
Parent Title (English):IEEE Access
Publisher:IEEE
Document Type:Article
Language:English
Year of Completion:2024
Publishing Institution:Hochschule Darmstadt
Release Date:2024/08/01
Tag:Biometrics (access control); Face recognition; Feature extraction; Forensics; uncontrolled scenarios
Volume:12
Page Number:10
First Page:52941
Last Page:52950
Note:
Originalveröffentlichung: L. J. Gonzalez-Soler, D. K. Jónsdóttir, C. Rathgeb and D. Fischer, "Information Fusion and Hand Alignment to Improve Hand Recognition in Forensic Scenarios," in IEEE Access, vol. 12, pp. 52941-52950, 2024, doi: 10.1109/ACCESS.2024.3386955
Institutes:da/sec - Biometrics and Internet Security Research Group
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
OpenAIRE:OpenAIRE
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International