Abstract Despite being reliable, palmprints have not received as much attention other biometrics such fingerprints, face or iris. Amount of information provided by high resolution and the fact that they huge forensic value makes them a preferred biometric choice for large scale identification systems. In palmprints, extraction reliable features is still challenging task especially because most ...

Deflections are commonly measured in the static structural system identification of structures. Comparatively less attention has been paid to possibility measuring rotations for purposes, despite many advantages using inclinometers, such as a high resolution and being reference free. Although some work can be found literature, this paper, very first time, proposes statistical analysis that just...

Cattle identification has been a serious problem for breeding association. The need of a robust identification method is a must. The previous identification means have not been satisfactory. The biometric marking has been investigated to be a permanent marking of the individual. Muzzle pattern or nose print has the same characteristic with the human fingerprint which is the most popular biometr...

Unsupervised video person re-identification (reID) methods usually depend on global-level features. Many supervised reID employed local-level features and achieved significant performance improvements. However, applying to unsupervised may introduce an unstable performance. To improve the stability for reID, this paper introduces a general scheme fusing part models learning. In scheme, feature ...

This work proposes a recursive weighted ELS algorithm for system identification by applying numerically robust orthogonal Householder transformations. The properties of the proposed algorithm show it obtains acceptable results in a noisy environment: fast convergence and asymptotically unbiased estimates. Comparative analysis with others robust methods well known from literature are also presen...

Quantification of object elasticity properties has important technical implications as well as significant practical applications, such as civil structural integrity inspection, machine fatigue assessment, and medical disease diagnosis. In general, given noisy measurements on the kinematic states of the objects from imaging or other data, the aim is to recover the elasticity parameters for assu...

The problem of identifying a linear time invariant system with bilinear dependence on two unknown parameters is considered. An algorithm which , uses measurements of the input and output and knowledge of the polynomial coefficients of the bilinear combinations of the unknown parameters is described. Persistence of excitation conditions an the input for computability of the algorithm are derived...