Contour AR

Contour AR

Augmented reality (AR) has been progressively applied in various fields. It is a new technique of the computer vision application used to enable interaction in the digital arts. We present an augmented reality learning system that enables user to certify alphabets or any character. We are using contour analysis for clarification an image. As Contour Analysis allows to exhibit, store, compare and find the object presented in the form of exterior outlines, solve the main problems of a pattern identification- transposition, turn and a rescaling of the image of object. CA methods are straight to these transformations.

It provides more genuine interaction. It is an advance method and could be a promising technology for motivating users to engage in learning systems. The contour is the boundary of object. In a CA the contour is encoded by the sequence consisting of complex numbers. On a contour, the starting point is fixed. Then, the contour is scanned and each vector of offset is noted by a complex number. Hence we can define clear-cut way of bypass of a contour. The last vector of a contour always leads to the starting point.