DocumentCode
707373
Title
Finger print fusion using Daubechies (Db1) wavelet transformation and quality measures
Author
Singh, Sehasnainjot ; Neeru, Nirvair
Author_Institution
Dept. of Comput. Eng., Punjabi Univ., Patiala, India
fYear
2015
fDate
11-13 March 2015
Firstpage
822
Lastpage
826
Abstract
Image Fusion is mechanism that is used to associate admissible information from a set of images of same scene into a single image. A Fused image is more informative, clear, noise free. In this paper Finger prints are used as input to image fusion mechanism. Daubechies Wavelet transformation is applied on them. Various fusion rules are applied on wavelet coefficients like mean, add, maximum, minimum. Quality of fingerprints are being tested using parameters are PSNR, Average Difference, Entropy, Chi-Square.
Keywords
entropy; fingerprint identification; image fusion; wavelet transforms; Daubechies wavelet transformation; PSNR; admissible information; average difference; chi-square; entropy; finger print fusion; fingerprint quality; fusion rules; image fusion mechanism; quality measures; wavelet coefficients; Covariance matrices; Discrete wavelet transforms; Entropy; Fingerprint recognition; Image fusion; Principal component analysis; Daubechies; Fusion; PCA; Ridges;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100363
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