Handwritten Gesture Recognition Driven by the Spatial Context of Strokes
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modelling sequences using pairwise relational features
Pattern Recognition
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This paper focuses on handling the two-dimensionnal feature of on-line handwriting signals in recognition engines. This spatial information is taken into account in various ways depending on the nature of characters to be recognized. We review some techniques used in the literature and investigate new ones to represent and model the spatial information in handwriting recognition engines. We compare formally and experimentally a number of solutions on various character recognition tasks.