Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Autoregressive Model Approach to Two-Dimensional Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
Analysis of the Precision of Generalized Chain Codes for the Representation of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Signal Processing
Stochastic models for closed boundary analysis: Representation and reconstruction
IEEE Transactions on Information Theory
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
Shape classification using smooth principal components
Pattern Recognition Letters
Visual recognition of fastening bolts for railroad maintenance
Pattern Recognition Letters
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The classification of planar shapes using spectral features is presented in this paper. The contour of a planar shape is represented by the magnitude and phase of radial vectors drawn from a centroid, and they are modeled by an autoregressive process. The spectral features are extracted from the least squares estimators of the model parameters, and planar shapes are classified by an artificial neural network. In the experiment with contours of aircraft, machine parts and handwritten numerals, more than 96 percent of the shapes are correctly classified.