Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer recognition of totally unconstrained handwritten zip codes
International Journal of Pattern Recognition and Artificial Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing the Fréchet distance between simple polygons in polynomial time
Proceedings of the twenty-second annual symposium on Computational geometry
Shape retrieval using triangle-area representation and dynamic space warping
Pattern Recognition
Fréchet Distance Based Approach for Searching Online Handwritten Documents
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Geometry-Based Image Retrieval in Binary Image Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curve matching for open 2D curves
Pattern Recognition Letters
2D Shape Matching by Contour Flexibility
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing the minimum distance between two Bézier curves
Journal of Computational and Applied Mathematics
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
A multiscale representation method for nonrigid shapes with a single closed contour
IEEE Transactions on Circuits and Systems for Video Technology
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In this research, the recognition accuracy of triangle-area representation (TAR) based shape feature is measured in recognizing the totally unconstrained handwritten digits. The TAR features for different triangles of variable side lengths that are formed by taking the combinations of different contour points were computed. The set of contour points that yielded the best features was experimentally discovered. For classification a curve matching technique is used. Several experiments were conducted on real-life sample data that was collected from postal zip codes written by mail writers. The highest recognition result of 98.5 % was achieved on the training data set and 98.3% on the test data set.