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Contactless person recognition using 2D and 3D finger knuckle patterns

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Abstract

In this paper, a contactless person verification system based on score level fusion of 2D and 3D finger knuckle patterns. In particular, four types of scores extracted from 3D forefinger FKP (Finger Knuckle Print), 3D middle FKP, 2D forefinger FKP and 2D middle FKP are merged to attain higher accuracy for personal recognition systems. The Tan and Triggs normalization technique (TT) is applied on the depth of 3D FKP image (fore and middle finger) to acquire TT 3D FKP image. Then, a novel and efficient scheme to extract features from TT 3D FKP image, namely Monogenic Local Phase Quantization (MLPQ) is utilized. Also, the MLPQ descriptor is applied on 2D FKP image (fore and middle finger) to extract features. The main idea of MLPQ descriptor is, first, the monogenic filters are applied to decompose TT 3D FKP image or 2D FKP image into three complementary parts: Bandpass, vertical and horizontal Bandpass components. Later, Local Phase Quantization (LPQ) is utilized to encode these complementary components. The encoded components are divided into M × M non-overlapped rectangular sub-regions to calculate their histograms. These histograms sequences are concatenated to build a large feature vector. The kernel fisher analysis (KFA) is used as a dimensionality reduction technique to build the monogenic Local Phase Quantization (MLPQ) feature vector for 3D or 2D FKP recognition. Finally, the cosine distance is used to ascertain the identity of the person. Experimental results using publicly available PolyU FKP dataset show that the presented framework notably attained lower error rates and outperformed the state-of-the-art technique.

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Authors and Affiliations

  1. Lab. ELEC – Faculty of New Technology of Information and Communication Ouargla University, 30 000, Ouargla, Algeria

    Mourad Chaa & Abdehai Lati

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

    Zahid Akhtar

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  1. Mourad Chaa
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  2. Zahid Akhtar
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Correspondence to Mourad Chaa.

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Chaa, M., Akhtar, Z. & Lati, A. Contactless person recognition using 2D and 3D finger knuckle patterns. Multimed Tools Appl 81, 8671–8689 (2022). https://doi.org/10.1007/s11042-022-12111-y

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