An Evaluation of Parallel Thinning Algorithms for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Rotation Invariant Rule-Based Thinning Algorithm for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction of Line Feature in Binary Images
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
K3M: A universal algorithm for image skeletonization and a review of thinning techniques
International Journal of Applied Mathematics and Computer Science
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Ahmed and Ward [2] have recently presented an elegant, rule-based rotation-invariant thinning algorithm to produce a single-pixel wide skeleton from a binary image. We show examples where this algorithm fails on two-pixel wide lines and propose a modified method which corrects this shortcoming based on graph connectivity.