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|Author(s):||John M. Libert; Shahram Orandi; John D. Grantham; Michael D. Garris;|
|Title:||A Spectral Analytic Method for Fingerprint Image Sample Rate Estimation|
|Published:||February 25, 2014|
|Abstract:||This study examines the use of the NIST Spectral Image Validation and Verification (SIVV) metric for the application of detecting the sample rate of a given fingerprint digital image. SIVV operates by reducing an input image to a 1-dimensional power spectrum that makes explicit the characteristic ridge structure of the fingerprint that on a global basis differentiates it from most other images. The magnitude of the distinctive spectral feature, which is related directly to the distinctness of the level 1 ridge detail, provides a primary diagnostic indicator of the presence of a fingerprint image. The location of the detected peak corresponding to the level 1 ridge detail can be used as an estimator of the original sampling frequency of that image given the behavior of this peak at known sampling frequencies a priori versus the calculated shift of this peak on an image of unknown sampling rate. A statistical model is fit to frequency measurements of a sample of images scanned at various sample rates from 10-print fingerprint cards such that the model parameters can be applied to SIVV frequency values of a digital fingerprint of unknown sample rate to estimate the sample rate. Uncertainty analysis is used to compute 95 % confidence intervals for predictions of sample rate from frequency. The model is tested against sets of cardscan and livescan images.|
|Citation:||NIST Interagency/Internal Report (NISTIR) - 7968|
|Keywords:||fingerprint, sample rate estimation, SIVV, spectral analysis, Spectral Image Validation and Verification|
|Research Areas:||Biometrics, Imaging|
|PDF version:||Click here to retrieve PDF version of paper (489KB)|