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<p><b>Abstract</b>—A new algorithm to recognize a two-dimensional object of arbitrary shape is presented. The object boundary is first represented by a one-dimensional signal. This signal is then used to build the wavelet transform zero-crossing representation of the object. The algorithm is invariant to translation, rotation and scaling. Experimental results show that, compared with the use of Fourier descriptors, our algorithm gives more stable and accurate results.</p>
Zero-crossings, wavelet transform, object recognition, object contours, linear transformation invariance.

Q. M. Tieng and W. Boles, "Recognition of 2D Object Contours Using the Wavelet Transform Zero-Crossing Representation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 910-916, 1997.
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