Multimodal biometric-information fusion using the Radon transform

Jitendra P. Chaudhari; Vaibhav V. Dixit; Pradeep M. Patil; Yogesh P. Kosta

doi:10.1117/1.JEI.24.2.023017

20 March 2015 Multimodal biometric-information fusion using the Radon transform

Jitendra P. Chaudhari, Vaibhav V. Dixit, Pradeep M. Patil, Yogesh P. Kosta

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 2, 023017 (March 2015). https://doi.org/10.1117/1.JEI.24.2.023017

Abstract

This paper proposes multimodal biometric-based personal identification. Palmprint and fingerprint modalities are utilized in the proposed model due to the availability of more distinctive features and the ease of capture. Principle lines are the main discriminative features in the palmprint, whereas orientations of the ridge and valley structures are the main features by which to identify the fingerprint. To extract these features, the use of the Radon transform is proposed in this work. However, the Radon transform is sensitive to the orientation. In order to make the model rotation invariant and insensitive to noise, a normalization process is generally used. Here, a logarithm-based normalization process has been utilized in the proposed model. A Euclidean-based matching process that is invariant to the rotation has been used. The proposed model is applicable to low resolution images and is invariant to rotation, insensitive to noise, and has less computational complexity as compared to other models.

Citation Download Citation

Jitendra P. Chaudhari, Vaibhav V. Dixit, Pradeep M. Patil, and Yogesh P. Kosta "Multimodal biometric-information fusion using the Radon transform," Journal of Electronic Imaging 24(2), 023017 (20 March 2015). https://doi.org/10.1117/1.JEI.24.2.023017

Published: 20 March 2015

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