Contour-based object recognition using wavelet-transform

In this paper we propose a new approach for shape recognition using the wavelet transform modulus maxima. And we apply it to the problem of content-based indexing and retrieval of fish contours. The description scheme and the similarity measure proposed here are simple and take into consideration the way our visual system perceives objects and compares them. The proposed scheme is invariant to translation, rotation, scale change and to noise corruption. Moreover, this description scheme allows accurate reconstruction of the shape boundary from the feature vector used to describe it. The experimental results and comparisons show the good performance of the proposed technique.