Abstract
In image forensics, the accuracy of biometric based identification and authentication system depends upon the quality of fingerprint images. The quality of the fingerprint images gets compromised by the introduction of various kinds of noise into them. The fingerprint images may get corrupted by random valued impulse noise mainly during the capturing or transmission process. To obtain noise free fingerprint images, they are processed using noise removal methods and filters. In this paper, a two stage novel and efficient algorithm for suppression of random valued impulse noise using basis splines interpolation is proposed. The algorithm removes noise from the image in the first stage and in second stage, it regularizes the edge deformed during noise removal process.
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Saxena, M. (2015). An Expeditious Algorithm for Random Valued Impulse Noise Removal in Fingerprint Images Using Basis Splines. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_24
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DOI: https://doi.org/10.1007/978-3-319-13728-5_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13727-8
Online ISBN: 978-3-319-13728-5
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