Recent Advances in Pattern Classification - Computational Intelligence Paradigms in Advanced Pattern Classification - page 1

Chapter 1
Recent Advances in Pattern Classification
Marek R. Ogiela 1 and Lakhmi C. Jain 2
1 AGH University of Science and Technology, Al. Mickiewicza 30,
30-059 Kraków, Poland
e-mail: [e-mail]
2 University of South Australia, School of Electrical and Information Engineering,
Adelaide, Mawson Lakes Campus, South Australia SA 5095, Australia
e-mail: [e-mail]
Abstract. This chapter describes some advances in modern pattern classification
techniques, and new classes of information systems dedicated for image analysis,
interpretation and semantic classification. In this topic we present some new solu-
tions for the development of modern pattern recognition techniques for processing
and analysis of several classes of visual patterns, as well as some theoretical foun-
dations for modern pattern interpretation approaches. In particular this monograph
presents selected areas of application of pattern recognition and classification
approaches including handwriting recognition, medical image analysis and inter-
pretation, development of cognitive systems for image computer understanding,
moving object detection, advanced image filtration and intelligent multi-object
labeling and classification.
1 New Directions in Pattern Classification
In the field of advanced pattern recognition and computational intelligence meth-
ods, new directions in the field referred to advanced visual patterns analysis,
recognition and interpretation, strongly connected with computational cognitive
science or cognitive informatics has recently been distinguished. Computational
cognitive science is a new branch of computer science and pattern classification
originating mainly from neurobiology and psychology, but is currently also devel-
oped by science (e.g. descriptive mathematics) and technical disciplines (informat-
ics). In this science, models of the cognitive process taking place in the human
brain [2], which is studied by neurophysiologists (at the level of biological
mechanisms), psychologists (at the level of analysing specific human behaviours)
and philosophers (at the level of a general reflection on the nature of cognitive
processes and their conditions), have become the basis for designing various types
of intelligent computer systems.