Orthogonal moments provide an efficient mathematical framework for computer vision,
image analysis, and pattern recognition. They are derived from the polynomials that are …

In this paper, we propose a new method for modeling the electromagnetic radiation of power
electronics systems. This method is based on coupling three powerful techniques: the …

Computers play an important role in our daily lives and its usage has grown manifolds today.
With ever increasing demand of security regulations all over the world and large number of …

Moments play an important role in image analysis and invariant pattern recognition. There
are two types: orthogonal moments and non-orthogonal moments. Orthogonal moments …

Valuable information of the iris is intrinsically located in its natural texture, therefore preserve
and extract the most relevant features for biometric recognition is of paramount importance …

The Zernike moment algorithm and R-Tree algorithm are known as state of the art in the
recognition of images and in the multimedia database respectively. The methods of storing …

Efficient fingerprint verification system is needed in many places for personal identification to
access physical facilities, information etc. This paper proposes robust verification system …

In this paper, the Artificial Neural Network (ANN) and the Pseudo Zernike Moment Invariant
(PZMI) is applied to search and identify the radiation sources using its measured …

We introduce a hybrid fingerprint recognition method built from minutiae and quaternion
orthogonal moments. The proposed algorithm includes four steps: extraction of the minutiae …

Biometrics is the science and technology of measuring and analyzing biological data of
human body, extracting a feature set from the acquired data, and comparing this set against …