Technical symbols recognition using the two-dimensional Radon transform

We introduce a new method to generate feature vectors to be used in symbol recognition. We propose a new exploitation of the Radon transform to generate relevant-features. The Radon transform is essentially a transformation of an image into a transform plane (/spl rho/,/spl theta/) represented by an accumulator in the discrete case. From the accumulator array we extract a signature (R-signature) which provides global information of a binary shape whatever its type and its form. The signature allows to keep fundamental geometrical transformation like scale, translation and rotation.

[1]  Matti Pietikäinen,et al.  An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Enrico Magli,et al.  Pattern recognition by means of the Radon transform and the continuous wavelet transform , 1999, Signal Process..

[3]  Stanley R. Deans,et al.  Hough Transform from the Radon Transform , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Pasi Fränti,et al.  Content-based matching of line-drawing images using the Hough transform , 2000, International Journal on Document Analysis and Recognition.

[5]  Rangachar Kasturi,et al.  A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  King-Sun Fu,et al.  Shape Discrimination Using Fourier Descriptors , 1977, IEEE Trans. Syst. Man Cybern..

[7]  Violet F. Leavers,et al.  Use of the Radon transform as a method of extracting information about shape in two dimensions , 1992, Image Vis. Comput..

[8]  S. Helgason The Radon Transform , 1980 .

[9]  W. A. Götz,et al.  A fast digital Radon transform--An efficient means for evaluating the Hough transform , 1995, Pattern Recognit..

[10]  Violet F. Leavers Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  James F. Boyce,et al.  The Radon transform and its application to shape parametrization in machine vision , 1987, Image Vis. Comput..