We present a novel set of descriptors for recognizing complex patterns such as roadsigns,
keys, aircrafts, characters, etc. Given a pattern, we first transform it to polar coordinate (r, θ) …

We present a novel set of shape descriptors that represents a digitized pattern in a concise
way and that is particularly well-suited for the recognition of handprinted characters. The …

An invariant pattern recognition descriptor is proposed in this paper by using the radon
transform, the dual-tree complex wavelet transform and the Fourier transform. The radon …

In this paper, we are investigating the utility of several emerging techniques to extract
features. A novel method of feature extraction is proposed, which includes utilizing the …

This paper proposes a new shape descriptor, called moment Fourier descriptor, which can
describe a complex object composed by a set of closed regions. This descriptor is shown to …

In this paper, we propose a rotation-invariant descriptor for pattern recognition by using
ridgelets, wavelet cycle-spinning, and the Fourier transform. Ridgelets have been developed …

In this paper, we present a set of wavelet moment invariants, together with a discriminative
feature selection method, for the classification of seemingly similar objects with subtle …

In this paper, we present a novel descriptor for feature extraction by using a combination of
Ridgelets and Fourier transform. We have successfully implemented ridgelets on the circular …

A system is developed for recognition of handwritten Farsi/Arabic characters and numerals.
The discrete wavelet transform is utilized to produce wavelet coefficients, which are used for …

Description or discrimination of boundary curves (shapes) is an important problem in picture
processing and pattern recognition. Fourier descriptors (FD's) have interesting properties in …