The use of steerable filters for feature extraction

Abstract

This letter proposes a new approach for feature, extraction using steerable filters. This approach is based on the concept of orientation-energy histogram which yields the local direction of dominant orientation. The testing is carried out using a training set of 1000 and a set of 300 unknown 40 X 40 hand-written digits. As a result of the simulations, 92% correct recognition is provided.