This paper presents a new model of scale, rotation, and translations invariant interest point descriptor for human actions recognition. The descriptor, HMIV (Hu Moment Invariants on Videos) is used for solving surveillance camera recording problems under different conditions of side, position, direction and illumination. The proposed approach deals with raw input human action video sequences. S...

Fingerprint recognition is one of the most important Biometric techniques among all biometrics. It provides reliable means of biometric authentication due to its features Universality, Distinctiveness, Permanence and Accuracy. It is the method of identifying an individual and it can be used in various application, such as, medical records, criminal investigation, cloud computing communication e...

A robust and geometric invariant digital image watermarking scheme based on feature extraction and local Zernike transform is proposed in this paper. The Adaptive Harris Detector is proposed to extract feature patches for watermarking use. A local Zernike moments-based watermarking scheme is raised, where the watermarked patches can be obtained directly by inverse Zernike Transform. Each extrac...

The determination of invariant characteristics is an important problem in pattern recognition. Many invariants are known: Hu's moment invariants are invariant to shifts, to changes of scale, and to rotations [Hu62]; Burkhardt's Fourier descriptors to shifts, to changes of scale and to rotations [Bu79]; Arbter's Fourier descriptors to a ne transformations [Ar90]; Wang's invariant moments to a ne...

We calculate the leading perturbative and power corrections to the hadronic invariant mass and energy spectra in semileptonic heavy hadron decays. We apply our results to the B system. Moments of the invariant mass spectrum, which vanish in the parton model, probe gluon bremsstrahlung and nonperturbative effects. Combining our results with recent data on B meson branching ratios, we obtain a lo...

We show that polynomials do not belong to the reproducing kernel Hilbert space of infinitely differentiable translation-invariant kernels whose spectral measures have moments corresponding a det...

In this paper, an attempt is made to develop an algorithm for recognition of machine printed isolated Kannada vowels and numerals of different font size and style using modified invariant moments and that are invariant with respect to rotation, scale and translation. A minimum distance nearest neighbor classifier is adopted for classification. The proposed algorithm is experimented on 1800 imag...

In this paper, we present a framework to combat replay attack (RA) in a speaker verification (SV) system. Although the problem of SV system vulnerabilities is not new, however, dramatic improvements in both SV systems and attack models have renewed interest in this area. We have shown that the replay attack can be modeled using a nonlinear transfer function. Higher-order spectral analysis is co...