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A fuzzy connective score fusion technique for 2D and 3D palmprint authentication system

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Abstract

Palmprint recognition systems have been extensively studied over the past two decades because of their unique, accurate, and stable biometric features. Many researchers have investigated the two-dimensional (2D) palmprint recognition that contains texture information, but the 2D palmprint image does not contain three-dimensional (3D) depth information. To beat the limitations associated with a 2D palmprint recognition system; this paper proposes using both 2D and 3D palmprint features for a personal recognition system. The BSIF and GIST descriptors are utilized for feature extraction from the 2D and 3D palmprint, respectively. Then, the PCA + LDA technique is used to reduce the dimensionality of features vectors. Next, the matching process is done using the Cosine distance. Finally, a score-level fusion was applied to get a final matching score using a fuzzy connective method based on the linear combination of triangular norms (T-norms and T-conorms). Also, the proposed method is compared to several techniques of score fusion, including Sum, Min, Max, and Symmetric Sum based on triangular norms. The system was evaluated on the publicly available Hong Kong-PolyU 2D + 3D palmprint database, and the obtained results show the efficiency of the proposed system.

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Funding

The data that support the findings of this study are available in references (Li et al. 2010a) and (Zhang et al. 2003).

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Authors and Affiliations

  1. Computer Science Department Mohamed El Bachir, El Ibrahimi University, Bordj BouArreridj, Algeria

    Abdelouahab Attia & Rabah Hammouche

  2. Computer Science and its Applications Laboratory Mohamed, Boudiaf University, M’Sila, Algeria

    Rabah Hammouche & Samir Akhrouf

  3. LMSE Laboratory Mohamed El Bachir, El Ibrahimi University, Bordj BouArreridj, Algeria

    Abdelouahab Attia

  4. Computer Science Department, Mohamed Boudiaf University, M’Sila, Algeria

    Samir Akhrouf

  5. Department of Network and Computer Security, State University of New York Polytechnic Institute, Utica, 13502, USA

    Zahid Akhtar

Authors
  1. Abdelouahab Attia
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  2. Rabah Hammouche
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  3. Samir Akhrouf
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  4. Zahid Akhtar
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Correspondence to Abdelouahab Attia.

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Attia, A., Hammouche, R., Akhrouf, S. et al. A fuzzy connective score fusion technique for 2D and 3D palmprint authentication system. Evolving Systems 14, 891–901 (2023). https://doi.org/10.1007/s12530-022-09477-7

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  • DOI: https://doi.org/10.1007/s12530-022-09477-7

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