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
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;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
