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A comprehensive study is made using major state-of-the-art shape descriptors over several public datasets of shapes such as graphical symbols (both printed and hand-drawn), handwritten characters and footwear prints. In all tests, the method proves its generic behavior by providing better recognition performance. Overall, we validate that our method is robust to deformed shape due to distortion, degradation and occlusion. <\/jats:p>","DOI":"10.1142\/s0218001413500080","type":"journal-article","created":{"date-parts":[[2013,4,15]],"date-time":"2013-04-15T03:51:21Z","timestamp":1365997881000},"page":"1350008","source":"Crossref","is-referenced-by-count":39,"title":["DTW\u2013RADON-BASED SHAPE DESCRIPTOR FOR PATTERN RECOGNITION"],"prefix":"10.1142","volume":"27","author":[{"given":"K. 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