The last decade has seen an explosion in the collection of protein data. To actualize the
potential offered by this wealth of data, it is important to develop machine systems capable of …

In this paper, we present a novel convexity measure for object shape analysis. The
proposed method is based on the idea of generating pairs of points from a set and …

Currently the most research done on the recognition of landed aircrafts based on its shape
feature lie in two cases: either the research has focused on different moment invariants …

This paper presents a hand-written character recognition comparison and performance
evaluation for robust and precise classification of different hand-written characters. The …

Fourier-Mellin transform (FMT) has been widely used for the extraction of rotation-and scale-
invariant features. However, affine transform is a more reasonable approximation model for …

Estimation of texture similarity is fundamental to many material recognition tasks. This study
uses fine-grained human perceptual similarity ground-truth to provide a comprehensive …

We provide an efficient algorithm to detect whether two given trigonometric curves, ie two
parametrized curves whose components are truncated Fourier series, in any dimension, are …

Character recognition is a field of machine learning that has been under research for several
decades. The particular success of neural networks in pattern recognition and therefore …

The moment-based method is a fundamental approach to the extraction of affine invariants.
However, only integer-order traditional moments can be used to construct affine invariants …