To represent the large amount of data in the biometric images an efficient feature extraction method is needed. Further biometric image acquisition is subject to deforming processes such as rotation, translation and scaling. Hence it is also required that the image representation be invariant to the deformations and sustain the discriminating features. Considering the trade off between the disc...

This paper proposes improved moment invariants for representing images. These features are invariant to orientation, size and translation. These new features compute moments from a point shifted to a distance from the image centroid. By doing so, the new moments show improved ability to represent symmetrical and noisy images. Both these problems of symmetry and noise are common when regular mom...

A great deal of work has been done on the evaluation of information retrieval systems for alphanumeric data. The same thing can not be said about the newly emerging multimedia and image database systems. One of the central concerns in these systems is the automatic characterization of image content and retrieval of images based on similarity of image content. In this paper, we discuss effective...

Moments and transforms are the scalar quantities that characterise a function and capture its significant properties. More specifically, these are the descriptors that correspond to the projection of the function on a specific basis function, where the type or characteristic of the basis function gives the name to the moment or transform [82]. Normally, moments and transforms are treated separa...

Gait is a biometric feature and gait recognition has become a challenging problem in computer vision. New wavelet velocity moments have been developed to describe and recognize gait. Wavelet moments are translation, scale and rotation invariant. Wavelet analysis has the trait of multi-resolution analysis, which strengthens the analysis ability to image subtle feature. According with the psychol...

The increasing interest in processing sequences of images motivates development of techniques for sequence-based object analysis and description. Accordingly, new velocity moments have been developed to allow a statistical description of both shape and associated motion through an image sequence. Through a generic framework motion information is determined using the established centralised mome...

In this work, we present a Tifinaghe scripts recognition system which contains three main parts: preprocessing, features extraction and recognition. In the pre processing process the scanned image document is midline skew corrected then segmented into lines using vertical histogram, lines into words, and words into character using horizontal histogram. In the features extraction process, invari...

Robust image hashing methods require the robustness to content preserving processing and geometric transform. Zernike moment is a local image feature descriptor whose magnitude components are rotationally invariant and most suitable for image hashing application. In this paper, we proposed Geometric invariant robust image hashing via zernike momment. Normalized zernike moments of an image are u...