On-line handwritten note recognition method using shape metamorphosis

Ioannis Pavlidis, Rahul Singh, Nikolaos P. Papanikolopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We propose a novel user-dependent method for the recognition of on-line handwritten notes. The method employs as a dissimilarity measure the `degree of morphing' between an input curve and a template curve. A physics-based approach substantiates the `degree of morphing' as a deformation energy and casts the problem as an energy minimization problem. The method operates upon key segmentation points that are provided by an appropriate segmentation algorithm. The segmentation objective is not to locate letters, but instead to locate corners and some key low curvature points (an easier task). This is part of the method's strategy to see the word as a generic on-line curve. Due to this strategy, the proposed method can handle collectively both, cursive words and hand-drawn line figures, the two key ingredients of handwritten notes. Most importantly, the proposed system achieves high recognition rates without ever resorting to statistical models.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Editors Anon
PublisherIEEE
Pages914-918
Number of pages5
Volume2
StatePublished - Jan 1 1997
EventProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger
Duration: Aug 18 1997Aug 20 1997

Other

OtherProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
CityUlm, Ger
Period8/18/978/20/97

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