College of Engineering

Face recognition system based on radial basis function neural network

Abstract : The global development of security system around the world made the field of recognition most needed, and led the idea of recognition grew up in researchers work; many specifications were found in mankind to differentiate between one and another. However, some of them were old like finger print and other types were modern as iris print, face, sound, palm print and DNA print. This thesis proposed a face recognition system. It is based mainly on classifier unit, which had been chosen as Radial Basis Function Neural Network (RBFN).

English

Power line data transmission using an OFDM system

Abstract : Ubiquitous high-speed communication is desirable, may be even essential for acceptable quality of life, productivity of business and so on. According to this demand, Power-Line Communication (PLC) arises in this field as a feasible broadband connection. The backbone of this system is of course the PLC modem which its design is a challenging task, as it covers several layers of the Open System Interconnection (OSI) standard.

English