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Identification of Fingerprint using Discrete Wavelet Packet Transform

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Fahima Tabassum, Md. Imdadul Islam, M.R. Amin
10.5120/ijca2015906613

Fahima Tabassum, Md. Imdadul Islam and M R Amin. Article: Identification of Fingerprint using Discrete Wavelet Packet Transform. International Journal of Computer Applications 128(7):38-44, October 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Fahima Tabassum and Md. Imdadul Islam and M.R. Amin},
	title = {Article: Identification of Fingerprint using Discrete Wavelet Packet Transform},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {128},
	number = {7},
	pages = {38-44},
	month = {October},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Objective of this paper is to identify a person taking fingerprint as a biometric parameter using wavelet packet transform. Here both conventional discrete wavelet transform (DWT) and discrete wavelet packet transform (WPT) are used considering special basis function/matrix to extract the coefficients of basis functions those convey the most of the energy of the signal or image. Here top 5% coefficients are chosen which actually convey the characteristics of an image. The outcome of the paper is to determine the set of energetic coefficients of basis functions which carry the features of an image hence storage required to preserve the template of images will be reduced considerably.

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Keywords

Signal space, scaling and shifting parameter, basis function, concentrator vector and filter bank.