AUGMENTED REALITY USING CONTOUR ANALYSIS IN e-LEARNING
Augmented reality (AR) has been increasingly applied in various fields. It is a new technique of the computer vision application used to facilitate interaction in the digital arts. We propose an augmented reality learning system that enables user to recognize alphabets or any character (pattern recognition). We are using contour analysis for processing an image. As Contour Analysis allows to describe, store, compare and find the object presented in the form of exterior outlines, solve the main problems of a pattern recognition - transposition, turn and a rescaling of the image of object. CA methods are invariant to these transformations. It provides more realistic interaction. It is an advance method and could be a promising technology for motivating users to engage in learning systems.