Plenary Lecture

A Concurrent Modular Neural System for Pattern Recognition and its Applications in Biometrics and Satellite Imagery

Prof. Victor-Emil Neagoe
Depart. of Electronics, Telecommnunications and Information Technology,
Polytechnic University of Bucharest,
Splaiul Independentei 313, Bucharest, Romania
Email: victoremil@gmail.com

Abstract: Starting from the idea to consider an artificial neural module as a cell characterizing a specific class only, we propose and evaluate a new neural pattern recognition system , representing a collection of small neural modules, which use a global concurential strategy. Each module is used to correctly classify the patterns of one class only and the number of modules equals the number of classes. The model proved to have very good performances , both for the recognition score and also for the training time.
We also present the applications of the proposed system for biometrics (color and infrared facial image recognition) as well as for satellite imagery (recognition of multispectral pixels: vegetation, water, sand, buildings).

Brief Biography of the Speaker:
Dr. Victor-Emil Neagoe is a Professor of the Department of Electronics, Telecommunications, and Information Technology at the Polytechnic University of Bucharest, Romania.
He teaches the following courses : Pattern Recognition and Artificial Intelligence; Digital Signal Processing; Computational Intelligence ; Detection and Estimation for Information Processing. He co-ordinates 12 Ph.D. candidates.
His research interest corresponds to the fields of pattern recognition, computational intelligence, biometric technology , satellite image analysis and sampling theory.
Prof. Neagoe is author of more than 110 published papers.
His has internationally recognized results concerning concurrent self-organized maps, face recognition, optimum color conversion, syntactical self-organized maps, nonuniform sampling theorems, inversion of the Van der Monde matrix, predictive ordering and linear approximation for image data compression, Legendre descriptors for classification of polygonal closed curves.
He has been included in Who’s Who in the World and Europe 500 and he has been nominated by the American Biographical Institute for American Medal of Honor and for World Medal of Honor.
He has been a Member IEEE since 1978 and a Senior Member IEEE since 1984.