Using Dynamic Time Warping for Intuitive Handwriting Recognition
Civitella, IT : Editrice Zona
Number of pages
InMarcelli, A.; Stafano, C. de (ed.), Advances in Graphonomics. Proceedings of the 12th Conference of the Internatonal Graphonomics Society (IGS2005), pp. 217-221
Article in monograph or in proceedings
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Stafano, C. de
SW OZ DCC KI
SW OZ NICI KI
Marcelli, A.; Stafano, C. de (ed.), Advances in Graphonomics. Proceedings of the 12th Conference of the Internatonal Graphonomics Society (IGS2005)
SubjectCognitive artificial intelligence
This paper discusses the use of Dynamic Time Warping (DTW) for visually perceptive and intuitive character recognition. In particular in forensic document examination, techniques are required that yield results matching a human user's expectations. In our approach, the goal is to retrieve a set of best matching allographic prototypes based on a query input character. Since DTW compares each pair of closest points from two trajectories, our assumption is that it may resemble most of the pair-wise coordinate comparisons employed by humans. In order to assess our ideas, we have set up a human factors experiment in which two variants of DTW are compared to a state-ofthe- art character classifier, HCLUS. A number of 25 subjects judged the recognition results of these three classifiers for 130 queries. As a result, one particular implementation of DTW was significantly rated as the best system. Future research will combine these promising new findings with techniques that employ other distinctive features like those used by human experts. This research is embedded in the Dutch TRIGRAPH project, which pursues the design of forensic document examination techniques based on expert knowledge.
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