A Robust Finger Knuckle Print Authentication using Topothesy and fractal dimension
In: Defence science journal: a journal devotet to science & technology in defence, Band 67, Heft 1, S. 66
ISSN: 0011-748X
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In: Defence science journal: a journal devotet to science & technology in defence, Band 67, Heft 1, S. 66
ISSN: 0011-748X
In: Defence science journal: DSJ, Band 67, Heft 1, S. 66
ISSN: 0011-748X
<p>This paper presents the finger knuckle based biometric authentication system using the approaches like structure entropy, GSHP (Gaussian smoothed High pass), GSOD (Gaussian Smoothed Oriented Directives) and also the well known method for surface roughness measurement called the fractal profiles represented by Topothesy and fractal dimension which describe not only the roughness but also the affine self similarity. We have also implemented Daisy descriptor for the representation of texture. The results of fractal parameters along with the refined scores are comparable to those of the compcode and impcompcode.</p>
In: Defence science journal: a journal devotet to science & technology in defence, Band 67, Heft 1, S. 66-73
ISSN: 0011-748X