Generation of Synthetic Training Data for an HMM-based Handwriting Recognition System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
The multiresolution gradient vector field skeleton
Pattern Recognition
Two-Dimensional Parallel Thinning Algorithms Based on Critical Kernels
Journal of Mathematical Imaging and Vision
Strategies for shape matching using skeletons
Computer Vision and Image Understanding
Graph-based markerless registration of city maps using geometric hashing
Computer Vision and Image Understanding
A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition
Neural Processing Letters
An intelligent sensor for fingerprint recognition
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels
Journal of Mathematical Imaging and Vision
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A fully parallel iterative thinning algorithm called MB2 is presented. It favorably competes with the best known algorithms regarding homotopy, mediality; thickness, rotation invariance and noise immunity, while featuring a speed improvement by a factor two or more owing to a smaller number of operations to perform. MB2 is grounded on a simple physics-based thinning principle that conveys both quality, efficiency and conceptual clarity. It is particularly suited to data parallel execution.