This paper describes the fingerprint verification based on wavelet transform and the local dominant orientation. Daubechies wavelet is use to decompose the fingerprint image. The local dominant orientation is computed using the coherence. The trainee and test fingerprint images are aligned around core point, in this paper the core point is detected as a maximum curvature point. We received 85 p...

In this paper, we propose a compression scheme for animated semi-regular meshes. This scheme includes a spatio-temporal wavelet filtering to exploit the coherence both in time and space. In order to optimize the quantization of both spatial and temporal wavelet coefficients, the proposed compression scheme also includes a model-based bit allocation. The experimental results show that this appro...

In this paper, a new algorithm called wavelet correlogram-CCV (W3C) for contentbased image indexing and retrieval is presented. W3C is an extension of wavelet correlogram that utilizes color coherence vectors (CCV) to consider texture information in addition to the shape for gray-level images. Additionally, a new distance measure that is optimized by genetic algorithms is proposed. The retrieva...

Abstract The study analyses the asymmetric and nonlinear influence of oil price on exchange rates South Asian countries in time–frequency framework using wavelet technique. For empirical analysis, monthly data are examined from July 1983 to June 2018. Wavelet coherence results show that variables phase, i.e., prices positively correlated. It suggests influences positively. also investigates cau...

Wavelet families arise by scaling and translations of a prototype function, called the mother wavelet. The construction of wavelet bases for cardinal spline spaces is generally carried out within the multi-resolution analysis scheme. Thus, the usual way of increasing the dimension of the multi-resolution subspaces is by augmenting the scaling factor. We show here that, when working on a compact...