LDA (Linear Discriminant Analysis) is a data discrimination technique that seeks the transformation to maximize the ratio of the scatter between classes and the scatter within each class. Although it has been applied to several applications successfully, it has two limitations that (i) it fails to discriminate the data with complex distributions since each class data is assumed to be distribute...

There have been many recent advances in pattern recognition technologies, particularly those involving visual pattern recognition tasks. How do these machine capabilities compare to human capabilities in visual pattern recognition tasks? Which can perform better in the feature extraction processes, machine or human? This study compares machine and human in color and shape recognition tasks, as ...

Face recognition is still an active pattern analysis topic. Faces have already been treated as objects or textures, but human face recognition system takes a different approach in face recognition. People refer to faces by their most discriminant features. People usually describe faces in sentences like ``She's snub-nosed'' or ``he's got long nose'' or ``he's got round eyes'' and so like. These...

In this research, an iterative approach is employed to recognize and classify control chart patterns. To do this, by taking new observations on the quality characteristic under consideration, the Maximum Likelihood Estimator of pattern parameters is first obtained and then the probability of each pattern is determined. Then using Bayes’ rule, probabilities are updated recursively. Finally, when...

We propose an innovative segmentation algorithm based on mathematical morphology operators. This definition is based on a morphological and fuzzy pattern-matching approach, and consists in comparing an object to a fuzzy landscape representing the degree of satisfaction of an affinity relationship. It has good formal properties, it is flexible, it fits the intuition, and it can be used for struc...

In order to cope with the ambiguity of spatial relative position concepts, we propose a new definition of the relative position between two objects in a fuzzy set framework. This definition is based on a morphological and fuzzy pattern-matching approach, and consists of comparing an object to a fuzzy landscape representing the degree of satisfaction of a directional relationship to a reference ...

Much research has been done by many researchers on Optical Character Recognition system. But most of the work done is on Greek, Chinese, English and Japanese characters. There has not been adequate work on character recognition of Indian languages like Bangla, Marathi, Malayalam, Telugu, Gujarati, Kannada, Gurmukhi and Oriya. The development of handwritten character recognition (HCR) is an inte...

Offline handwritten segmentation in Bangla is an interesting area of research as Segmentation has long been one of the most critical areas of optical character recognition process. Through this operation, an image of a sequence of characters, which may be connected in some cases, is decomposed into sub-images of individual alphabetic symbols. In this paper, segmentation of cursive handwritten s...

In this paper, a novel Patch Geodesic Derivative Pattern (PGDP) describing the texture map of a face through its shape data is proposed. Geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3D images with different pose and expression variations. An extensive experimental investigation is conducted using the publicly available Bosphorus and BU-3...