We review more than 200 applications of neural networks in image processing and discuss
the present and possible future role of neural networks, especially feed-forward neural …

In this document we review and compare some of the classical and modern techniques for
solving the problem of invariant pattern recognition. Such techniques include integral …

The recognition of objects from imagery in a manner that is independent of scale, position
and orientation may be achieved by characterizing an object with a set of extracted invariant …

A new approach to detect step edges with subpixel accuracy is presented. The proposed
approach is based on a set of orthogonal complex moments of the image known as Zernike …

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 …

The paper introduces a robust image watermark based on an invariant image feature vector.
Normalized Zernike moments of an image are used as the vector. The watermark is …

Hand gestures play an important role in communication between people during their daily
lives. But the extensive use of hand gestures as a mean of communication can be found in …

Object recognition is one of the research area in the field of computer vision and image
processing because of its varied applications in surveillance and security systems …

A revised fundamental theorem of moment invariants for pattern recognition which corrects
the fundamental theorem proposed by MK Hu (1962), is presented. The correction affects …

In this paper, we consider the use of orthogonal moments for invariant classification of
alphanumeric characters of different size. In addition to the Zernike and pseudo-Zernike …