An Exploration of the Feasibility of FPGA Implementation of Face Recognition Using Eigenfaces

Biometric identification has been a major force since 1990\u27s. There are different types of approaches for it; one of the most significant approaches is face recognition. Over the past two decades, face recognition techniques have improved significantly, the main focus being the development of efficient algorithm. The state of art algorithms with good recognition rate are implemented using programming languages such as C++, JAVA and MATLAB, these requires a fast and computationally efficient hardware such as workstations. If the face recognition algorithms could be written in a Hardware Description Language, they could be implemented in an FPGA. In this thesis we have choose the eigenfaces algorithm, since it is simple and very efficient, this algorithm is first solved analytically, and then the architecture is designed for FPGA implementation. We then develop the Verilog module for each of these modules and test their functionality using a Verilog Simulator and finally we discuss the feasibility of FPGA implementation. Implementing the face recognition technology in an FPGA would mean that they would require relatively low power and the size is drastically reduced when compared to the workstations. They would also be much faster and efficient, since they are specifically designed for face recognition

Diversity, occurrence and socio-economic aspects of snappers and job fish (Family: Lutjanidae) fisheries from Gulf of Mannar region, south-east coast of India

Survey were conducted in nine fish landing centres (Pamban South, Mandapam South, Keelakarai, Ervadi, Vembar, Tharuvaikulam, Thirespuram, Tuticorin and Amalinagar) along the Gulf of Mannar region to assess the diversity, catch rate of snappers and job fishes caught in different fishing gears. A total of thirty species of fishes belonging to the family Lutjanidae (snappers and job fishes) were identified which belonged to five genera viz., Lutjanus, Pinjalo, Aphareus, Etelis and Pristipomoides. Highest species diversity was observed in the gear, coral reef fish trap (24 species), followed by hook and line (21 species). Principal Component Analysis revealed four typical groups based on the fish species caught from five different gears. Fishes caught in hook & line, shrimp trawl net and fish trawl net formed individual group, whereas coral reef fish trap and bottom set gill net together formed another group. Mean CPUE values for the observed fishing practices varied significantly and the value were higher in the Fish trawl net (107±33.5 kg/ fishing trip). Sharing pattern of the fishery resources among the crew members varied between fishing villages and fishing practices