We propose a new kernel direct discriminant analysis (KDDA) algorithm in this paper. First, a recently advocated direct linear discriminant analysis (DLDA) algorithm is overviewed. Then the new KDDA algorithm is developed which can be considered as a kernel version of the DLDA algorithm. The design of the minimum distance classifier in the new kernel subspace is then discussed. The results of e...

A new feature extraction approach based on elastic meshing and directional decomposition techniques for handwritten Chinese character recognition (HCCR) is proposed in this letter. It is found that to decompose a Chinese character into horizontal, vertical stroke, left slant and right slant directional sub-pattenrs is very helpful for feature extraction and recognition. Three kinds of decomposi...

Humans are interested in the determination of the geographical origin of honeybee pollen due to its nutritional value and therapeutical benefits. This task is currently being developed in a manual way using images from optical microscopy. We have proposed [1, 2] an automatic system for pollen identification, based on its texture classification using a minimum distance classifier. In the present...

In this paper, an attempt is made to develop an algorithm for recognition of machine printed isolated Kannada vowels and numerals of different font size and style using modified invariant moments and that are invariant with respect to rotation, scale and translation. A minimum distance nearest neighbor classifier is adopted for classification. The proposed algorithm is experimented on 1800 imag...

This paper describes the recognition of container code characters in the project Mocont-II, where container images are taken in largely varying light situations. The recognition system has to deal with gray-level characters showing a wide variability of brightness and contrast, varying inclination, segmentation uncertainties, damaged characters and the presence of shadows. Different sets of fea...

Accurate measurement and identification of blood vessels could provide useful information to clinical diagnosis. A piecewise Gaussian model is proposed to describe the intensity distribution of vessel profile in this paper. The characteristic of central reflex is specially considered in the proposed model. The comparison with the single Gaussian model is performed, which shows that the piecewis...

The problem that the randomly generated random projection matrix will lead to unstable classification results is addressed in this paper. To end, a Tighter Random Projection-oriented entropy-weighted ensemble algorithm proposed for classifying hyperspectral remote sensing images. In particular, paper presents selection strategy based on separable information of single class able project feature...

Uncertain objects, where each feature is represented by multiple observations or a given or fitted probability density function, arise in applications such as sensor networks, moving object databases and medical and biological databases. We propose a methodology to classify uncertain objects based on a new probabilistic distance measure between an uncertain object and a group of uncertain objec...