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Deep rule-based classifier for finger knuckle pattern recognition system

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Abstract

In this paper, we proposed a novel finger knuckle pattern (FKP) based personal authentication system using multilayer deep rule based (DRB) classifier. The presented approach is completely data-driven and fully automatic. However, the DRB classifier is generic and can be used in variety of classification or prediction problems. In particular, from the input finger knuckle, two kinds of features (i.e., Binarized Statistical Image Features and Gabor Filer bank) are extracted, which are then fed to fuzzy rules based DRB classifier to determine whether the user is genuine or impostor. Experimental results in the form of accuracy, error equal rate (EER) and receiver operating characteristic (ROC) curves demonstrate that presented DRB classifier is a powerful tool in FKP based biometric identification system. Experiments are reported using publicly available FKP PolyU database provided by University of Hong Kong. Experiments using this database show that the presented framework, in this study, can attain performance better than previously proposed methods. Moreover, score level fusion of all FKP modalities with BSIF + DRB yielded an equal error rate of 0.19% and an accuracy of 99.65%.

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Authors and Affiliations

  1. LMSE Laboratory, Mohamed El Bachir El Ibrahimi University of Bordj Bou Arreridj, 34000, Bordj Bou Arreridj, Algeria

    Abdelouahab Attia & Sofiane Maza

  2. State University of New York Polytechnic Institute, Albany, NY, USA

    Zahid Akhtar

  3. Computer Science Department, Mohamed El Bachir El Ibrahimi University of Bordj Bou Arreridj, 34000, Bordj Bou Arreridj, Algeria

    Abdelouahab Attia & Nour Elhouda Chalabi

  4. Image Team GREYC-CNRS UMR, University of Caen, Caen, France

    Youssef Chahir

Authors
  1. Abdelouahab Attia
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  2. Zahid Akhtar
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  3. Nour Elhouda Chalabi
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  4. Sofiane Maza
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  5. Youssef Chahir
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Correspondence to Abdelouahab Attia.

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Attia, A., Akhtar, Z., Chalabi, N.E. et al. Deep rule-based classifier for finger knuckle pattern recognition system. Evolving Systems 12, 1015–1029 (2021). https://doi.org/10.1007/s12530-020-09359-w

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  • DOI: https://doi.org/10.1007/s12530-020-09359-w

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