This paper presents a new feature selection method for learning based single image super-resolution (SR). The performance of learning based SR strongly depends on the quality of the feature. Better features produce better co-occurrence relationship between low-resolution (LR) and high-resolution (HR) patches, which share the same local geometry in the manifold. In this paper, Zernike moment is ...

To identify the content of motion sequences such as gestures and video sequences, we propose a compact representation of flow fields using a basis of complex Zernike polynomials. Moments derived from projection of these polynomials have been used in recognition. Previously, local descriptions learned from examples, or specified a priori, have been used to identify local flow events. Affine expa...

Content Based Image Retrieval (CBIR) system using Region based shape descriptors is proposed in my work. Further, the image classification efficiency is improved by employing Support Vector Machine (SVM) classifier. In this paper we concentrate on region based shape descriptors. In Region based shape descriptors include Hu moments, Zernike Moments, and exact Legendre Moment. In CBIR system the ...

Information, communication and technology have known a larger innovation in the field of research. This technology has a several directions of studies, among the axis most necessary is the image processing. This field underwent a major change by adopting new procedures of analysis, such as Image Analysis by orthogonal Moments. Among this orthogonal moments family: Zernike Moments, Tchebichef Mo...

Most of the reported works in the field of character recognition systems achieve modest results by using a single method for calculating the parameters of the character image and a single approach in the classification phase of the system. So, in order to improve the recognition rate, this document proposes an automatic system to recognize isolated printed Tifinagh characters by using a fusion ...

This paper explores ear biometrics using a mixture of feature extraction techniques and classifies this vector deep learning with convolutional neural network. exploration uses images from 2D facial profiles images. The investigated are Zernike Moments, local binary pattern, Gabor filter, Haralick texture moments. normalised is used to examine whether network better at identifying the than othe...