In this paper, we propose a new set of discrete orthogonal polynomials called fractional
Charlier polynomials (FrCPs). This new set will be used as a basic function to define the …

The Moment invariant is a feature extraction technique used to extract the global features for
shape recognition and identification analysis. There are many types of Moment Invariants …

Ensuring conflicting requirements such as imperceptibility, payload capacity, and
robustness, becomes a great challenge for a robust audio/speech watermarking algorithm …

In this paper, we propose a zero-watermarking scheme based on a new set of quaternion
moments called Quaternion Radial Fractional Charlier Moments (QRFrCMs) for the …

This paper proposes a new category of moments for color stereo image description, called
Octonion Moments (OMs). These new descriptors are based on the octonion theory and the …

In this paper, we propose efficient methods for the reconstruction, compression, compressive
sensing (CS) and encryption of 1D signals. The proposed reconstruction method is based …

Krawtchouk polynomials (KPs) are discrete orthogonal polynomials associated with the
Gauss hypergeometric functions. These polynomials and their generated moments in 1D or …

The discrete orthogonal moments such as Krawtchouk and Charlier moments have been
used successfully in the field of image analysis. These moments are based on discrete …

Discrete orthogonal moments such as Meixner moments are powerful tools for
characterizing image shape features for applications in pattern recognition and image …

Moment descriptors have been widely used for the analysis and representation of images. In
this paper, we propose a new set of discrete orthogonal moments of fractional order, called …