International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 112

Research Paper | Computer Science & Engineering | India | Volume 6 Issue 2, February 2017


Fingerprint Authentication using Adaptive RBF

Fremina James, Dr. Prasanna V Kumar, Manoj Kumar Singh


Abstract: In this paper, we have proposed an adaptive radial basis function neural network which is based on adaptions of center and spread parameters involved in network design. This adaption is achieved through stochastic approach. Proposed adaptive form of architecture is applied to authenticate the fingerprint images. From individual fingerprint image, features based change is given to define the corresponding values of weights and radial basis function. Proposed method has shown remarkable advantage over fixed radial basis function neural network in feature extraction from fingerprint images


Keywords: Biometrics, Authentication, Fingerprint, Radial basis function, center, spread parameter


Edition: Volume 6 Issue 2, February 2017,


Pages: 2174 - 2179


How to Cite this Article?

Fremina James, Dr. Prasanna V Kumar, Manoj Kumar Singh, "Fingerprint Authentication using Adaptive RBF", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20171081, Volume 6 Issue 2, February 2017, 2174 - 2179

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