This paper proposes a new discriminant analysis with orthonormal coordinate axes of the
feature space. In general, the number of coordinate axes of the feature space in the traditional …

We study a Gabor-filter-based method for handwritten numeral character recognition. The
Gabor filter is based on a multi-channel filtering theory for processing visual information in the …

… Shunji Uchimura, and Shingo Tomita … Tomita are with the Faculty of Engineering, Yamagucki
University, Ube, 755 … Tomita, "Recognition of Handprinted Chinese Characters Using Gabor …

Characteristic dynamics in lava flows, such as the formation processes of lava levees, toe-like
tips, and overlapped structures, were reproduced successfully through numerical …

This paper proposed some methods upon a second-order neural network. These networks
apply the normalized frequency distribution of distance between two points on an object. …

We study a Gabor filter-based feature extraction method for handwritten numeral character
recognition. The performance of the Gabor filter-based method is demonstrated on the ETL-1 …

Narendra and Fukunaga show that the branch and bound algorithm guarantees the optimal
feature subset without evaluating all possible feature subsets, if the criterion function used …

It is widely believed in the pattern recognition field that when a fixed number of training
samples is used to design a classifier, the generalization error of the classifier tends to increase …

A method for handprinted Chinese character recognition based on Gabor filters is proposed.
The Gabor approach to character recognition is intuitively appealing because it is inspired …

Small-training sample size problems in artificial neural network classifier design are
discussed. A comparison of the artificial neural network (ANN) and nonparametric statistical …