Designing and Analysis of Microwave Hairpin Filter
Sanjay Kumar Singh · IOSR Journal of Electronics and Communication Engineering · 2014
The Recognition of objects is considered as difficult one in Image Processing.It includes recognition of face, iris, cars, airplanes, etc.For object recognition, many neural networks have been proposed.But these neural network methods have high computational complexity which require more computation time.Hierarchical Model and X model (HMAX model) is a biologically based model which is used to improve all complexities in the object recognition.This HMAX model need less number of training examples and it is the state-of-the-art system in object recognition task.The basic HMAX model involves the operation of Gabor filter for object recognition.The recognition based on Gabor filter is done in MATLAB.The Gabor filter is used to provide the features of an image of different orientations.It provides independent variables.In the proposed system, the object recognition is done by means of Linear Discriminant Analysis (LDA).It is then implemented in Field Programmable Gate Array (FPGA) which has the advantage of less area, less required power and also provide less computational time.