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Anisotropic differential concavity codes for palmprint representation

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Abstract

The straight excitatory filters such as Gabor filters and Modified finite Radon transform can not include the vital and inherent curvature information residing in palmlines of the palmprint. Moreover, Gabor filter bank, employed in majority research work of the literature, is frequency dependent which require tuning to avoid false line representation for principle line/wrinkles. Therefore in this work to evade the false palmline assessment within the neighbourhood region and include inherent curvature attribute of the palmlines, a curvilinear anisotropic filter, (\(C_{AGF}\)) is proposed and employed for palmprint representation. The proposed filter bank exploits both positive and negative concavities constituted within the palmlines. A novel representation called as the Anisotropic Differential Concavity (\(AD_{C}\)) codes is obtained from difference plane obtained by subtracting curvilinear anisotropic filter responses of the palmprint sample at various orientations and for both positive and negative concavities, followed by the zero-crossings of these difference planes. Finally, it is observed that the experimental performance of the proposed representation, on standard PolyU 2D and IITD touch-less databases, outperforms several state-of-the-art approaches.

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Correspondence to Pawan Dubey.

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Dubey, P., Kanumuri, T., Vyas, R. et al. Anisotropic differential concavity codes for palmprint representation. Multimed Tools Appl 83, 31001–31015 (2024). https://doi.org/10.1007/s11042-023-16690-2

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