[PDF] Top 20 Robust estimation of biometric data
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Robust estimation of biometric data
... a robust estimator ˆ C to apply on biometric data analysis involving facial ...real data shows clear improvement of the robust ˆ C-estimator as it was able to link two faces for which ... See full document
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Robust estimation of sulcal morphology
... Sulcal morphology, width and depth, was estimated for eight major sulci in each hemisphere: central, post-cen- tral, superior frontal, inferior frontal, parieto-occipital, occipito-temporal, middle occipital and lunate, ... See full document
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Robust Security Enhancement for Smartphone Using Biometric Fingerprint
... during the user login process or it can be hacked if one loses their smartphone. The present methodology proposed using fingerprint verification for robust security of smartphones as well as the login process. I ... See full document
5
Robust dose-response curve estimation applied to high content screening data analysis
... on data quality ...a robust initial guess is automatically deter- mined at the beginning of the fitting ...weighting data points is described in the next ... See full document
9
A robust generalized sidelobe canceller via steering vector estimation
... observation data received by the auxiliary array, the GSC inclines to misread the desired signal as interference and to cause a signal of interest (SOI) cancellation consequently ...primary data of the ... See full document
11
A Robust Multimodal Biometric System VIA Multiple Svms
... multimodal biometric authentication techniques, and it assumes that whole set of the classifiers is ...a robust multimodal biometric authentication system that integrates FKP (Finger-Knuckle Print), ... See full document
7
Essays on missing data problems: MSL estimation in the analysis of censored data and doubly robust estimation in the analysis of treatment effects
... Table 3.1 shows summary statistics for our study population and the estimation sample. By construction, the study population is essentially representative of the New Zealand population of Maori and European ... See full document
155
Modelling and Simulation of Robust Biometric Fingerprint Recognition Algorithm
... represents the local frequency of the ridges in a fingerprint. The first step in the local ridge frequency estimation stage is to divide the image into blocks of size W x W. Then, project the grey level values of ... See full document
10
The Standards in Data Structure for Biometric Applications
... a biometric system. Depending on the conditions, the biometric application may be more interested in one than the ...the biometric application ...representative data set that validates the ... See full document
6
A Robust Digital Image Watermarking for Biometric Template Protection Applications
... In Human, vision is the most powerful sense among the five senses. Visual information, conveyed in the form of images gives better impact than textual information. Digital image processing is a technique that uses ... See full document
6
Robust Kernel Density Estimation
... Density estimation with positive semi-definite kernels has been studied by several authors. Vap- nik and Mukherjee (2000) optimize a criterion based on the empirical cumulative distribution func- tion over the ... See full document
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Secure Biometric Authentication System using Chaotic Encryption
... user’s data are a still a lingering concern. Therefore, biometric template protection to avoid identity theft has become a major concern in today’s security ...a robust fingerprint template ... See full document
6
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
... patient-level data have created an urgent need for high-quality estimators of individualized treatment rules that can be applied to observational ...observational data and is doubly-robust in the ... See full document
23
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application
... Panel data in stock ...the estimation error N (Stock and Watson, 2002; Fan et ...a robust estimation method in the presence of heavy- tailed return ... See full document
42
Matched, mismatched, and robust scatter matrix estimation and hypothesis testing in complex t distributed data
... true data model or to the need to fulfill some operative constraints on the estima- tion algorithm (processing time, simple hardware imple- mentation, and so ...CES-distributed data under mismatched ... See full document
16
Robust Element Wise Empirical Likelihood Estimation Method for Longitudinal Data
... longitudinal data research, empirical likelihood methods are al- so one of the frequently used ...the estimation of the population mean of completely independent and identically distributed ...likelihood ... See full document
13
A Novel Robust Digital Watermarking Technique Using Compressive Sensing for Biometric Data Protection
... – Biometric systems are those which utilize or are capability of utilizing characteristics of human for enrolment, verification or ...these biometric authentication systems are vulnerable against different ... See full document
7
Robust Parameter Estimation for Fixed Effect Panel Data Model in the Presence of Heteroscedasticity and High Leverage Points by Robust Method
... method; Robust maha- lanobis distance based on minimum volume el- lipsoid (RMD(MVE)), diagnostic robust gen- eralized potential based on index set equal- ity (DRGP(ISE)) and fast modified generalized ... See full document
12
Data Digitization using Multi-Model Biometric Identity Platform (Data Analysis and Security using Biometric)
... This method retains more of the available iris information [2]. In the image processing techniques, zero-crossings can also correspond to significant features. So Bole and Boas hash [3] chose to extract and represent the ... See full document
12
A Robust Biometric Image Texture Descripting Approach
... The experimental results verify that all the operators give a fairly high performance in classifying the images reliably with negli- gible false alarm or wrong identification with a high accuracy and low processing ... See full document
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