FRIT characterized hierarchical kernel memory arrangement for multiband palmprint recognition

Dakshina Ranjan Kisku; Phalguni Gupta; Jamuna Kanta Sing

doi:10.1117/12.2190204

21 October 2015 FRIT characterized hierarchical kernel memory arrangement for multiband palmprint recognition

Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing

Proceedings Volume 9652, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI; and Optical Materials and Biomaterials in Security and Defence Systems Technology XII; 96520P (2015) https://doi.org/10.1117/12.2190204
Event: SPIE Security + Defence, 2015, Toulouse, France

Abstract

In this paper, we present a hierarchical kernel associative memory (H-KAM) based computational model with Finite Ridgelet Transform (FRIT) representation for multispectral palmprint recognition. To characterize a multispectral palmprint image, the Finite Ridgelet Transform is used to achieve a very compact and distinctive representation of linear singularities while it also captures the singularities along lines and edges. The proposed system makes use of Finite Ridgelet Transform to represent multispectral palmprint image and it is then modeled by Kernel Associative Memories. Finally, the recognition scheme is thoroughly tested with a benchmarking multispectral palmprint database CASIA. For recognition purpose a Bayesian classifier is used. The experimental results exhibit robustness of the proposed system under different wavelengths of palm image.

Citation Download Citation

Dakshina Ranjan Kisku, Phalguni Gupta, and Jamuna Kanta Sing "FRIT characterized hierarchical kernel memory arrangement for multiband palmprint recognition", Proc. SPIE 9652, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI; and Optical Materials and Biomaterials in Security and Defence Systems Technology XII, 96520P (21 October 2015); https://doi.org/10.1117/12.2190204

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KEYWORDS

Multispectral imaging

Content addressable memory

Databases

Wavelets

Radon transform

Image fusion

Image enhancement

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