Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Object recognition using wavelets, L-G graphs and synthesis of regions
Pattern Recognition
Technical Section: Capturing outlines of planar images using Bézier cubics
Computers and Graphics
Technical Section: An efficient technique for capturing 2D objects
Computers and Graphics
Capturing outlines of 2D objects with Bézier cubic approximation
Image and Vision Computing
Expert system based on artificial neural networks for content-based image retrieval
Expert Systems with Applications: An International Journal
An automatic algorithm for approximating boundary of bitmap characters
Future Generation Computer Systems
Automatic assembling of cadastral maps based on generalized hough transformation
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Relational consistency in on-line signature validation
Pattern Recognition Letters
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The problem of finding approximate matches of pieces of shapes to parts of larger shapes is investigated. The shapes are represented by polygonal approximations. Initially, figures of merit are assigned to the matches between pairs of angles on the two shapes. Relaxation methods are then used to find acceptable combinations of these matches. This approach was tested on a data base consisting of digitized coastlines in various map projections. In nearly all cases, all matches except the correct one were eliminated by the relaxation processes.