STATISTICAL METHODS FOR PATTERN RECOGNITION

The purpose of this book is to present some statistical methods of pattern recognition. The book brings contributions in the field of statistical pattern recognition both from a point of theoretical view and from a point of applications view which are achieved in a private field of pattern recognition: iris recognition. The book contains five chapters and four annexes.The algorithms from my book show the joining of some known results with some observations or remarks which lead to the achievement of some very general algorithms, which are suitable for solving some complex pattern problems. I shall achieve the software implementation for the project methods using the programming language Matlab 7.0. A lot of the original contributions from this book constitute the object of some meaningful papers, which are international recognized through their publication in some impressive specialty journals or books from the international and national publishing houses. My significant scientific results were published in over 20 articles appeared in prestigious national or international journals. At least 8 of my papers are well reviewed in dedicated journals.

Autorentext

I got the PhD Degree both in Electronics Engineering and Telecommunications, from the Polytechnic University of Bucharest, the Faculty of Electronics, Telecommunications and Information Technology, in 2003 and in Mathematics, from the Faculty of Mathematics and Informatics, University of Bucharest, in 2009.