Conversion Database of the Shapes Into XML Data for Shape Matching

The authors present a new approach to the matching of 2D shapes using XML language and dynamic programming. Given a 2D shape, they extract its contour and which is represented by set of points. The contour is divided into curves using corner detection. After, each curve is described by local and global features; these features are coded in a string of symbols and stored in a XML file. Finally, using the dynamic programming, they find the optimal alignment between sequences of symbols. Results are presented and compared with existing methods using MATLAB for KIMIA-25 database and MPEG7 databases.

Provided by: Cornell University Topic: Data Management Date Added: Feb 2012 Format: PDF

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