Over the last decade, the development of statistical models in support of forensic fingerprint
identification has been the subject of increasing research attention, spurned on recently by …

Research projects aimed at proposing fingerprint statistical models based on the likelihood
ratio framework have shown that low quality finger impressions left on crime scenes may …

Biometric recognition, or biometrics, refers to the authentication of an individual on the basis
of her or his biometric traits. Among the various biometric traits (eg, face, iris, fingerprint, and …

Finite mixtures are a flexible modeling tool for irregularly shaped densities and samples from
heterogeneous populations. When modeling with mixtures using an exchangeable prior on …

Fingerprint individuality refers to the extent of uniqueness of fingerprints and is governed by
the distribution of fingerprint features, termed minutiae, in a population. This article develops …

The COVRATIO statistic has been used to identify the presence of outlier in data, which is
based on deletion approach, where the determinant of covariance matrix for the full dataset …

It is believed that fingerprints are determined in embryonic development. Unlike other
personal characteristics the fingerprint appears to be a result of a random process. For …

A generalized mixed model framework for assessing fingerprint individuality in presence of
varying image quality Page 1 The Annals of Applied Statistics 2014, Vol. 8, No. 3, 1314–1340 …

This study aimed to propose shape features and statistical shape models to develop a novel
shape discrimination procedure for the maxillary dental arch with important applications in …

This study aimed to propose shape features and statistical shape models to develop a novel
shape discrimination procedure for the maxillary dental arch with important applications in …