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...

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...

Several applications of cognitive informatics are coupled with automatic acquisition and processing of data and images for recognition and classification. There are many algorithms with wide-ranging performance in pattern recognition. A computer recognizes a character as a pattern from its digital image or from a set of parameters picked from its digital representation. This paper explores an o...

1.1 Perception and its constancy Born and developed in the middle of 1970’s, cognitive science is a kind of intersectional and integrative science aiming to study both the working principle and the developing mechanism of human brain and psyche. It is a product from the processes of intersection, infiltration and aggregation of such sciences as psychology, computer science, neurology, linguisti...

Modeling objects with a set of geometric primitives is a key problem in computer vision and pattern recognition with numerous applications including object detection and retrieval, tracking, motion and action analysis. In this paper, we attempt to represent 2D object shapes with a number of ellipses with semantic meaning (e.g. one ellipse may correspond to an arm, while two other ellipses may r...

The purpose of this study is to describe how the attribute hierarchy method (AHM) can be used to evaluate differential group performance at the cognitive attribute level. The AHM is a psychometric method for classifying examinees’ test item responses into a set of attribute-mastery patterns associated with different components in a cognitive model of task performance. Attribute probabilities, c...

As one of us has already repeatedly stressed ([10], [12], [13], [15]), we believe, together with Hermann von Helmholtz [23], that the central and the most pressing issue confronting cognitive science and artificial intelligence is the development of a satisfactory unified inductive learning model (see also [5], [34], [43]). Unfortunately, this issue was not perceived to be the central issue by ...

The main objective of this multidisciplinary study is to develop a cognitive model of the mechanisms of musical perception and comprehension. This model aims specifically at exploring the close interaction between the processes of segmentation and pattern recognition in musical listening from different angles including perception, musical analysis, and computer modeling. This question touches u...

A new form of denotational mathematics known as Visual Semantic Algebra (VSA) is presented for abstract visual object and architecture manipulations. A set of cognitive theories for pattern recognition is explored such as cognitive principles of visual perception and basic mechanisms of object and pattern recognition. The cognitive process of pattern recognition is rigorously modeled using VSA ...