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ICDAR
2005
IEEE

On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems

9 years 5 months ago
On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems
We present an automatic on-line adaptation mechanism to the writer’s handwriting style for the recognition of isolated handwritten characters. The classifier is based on a Fuzzy Inference System (FIS). This FIS is composed of fuzzy prototypes which represent the intrinsic properties of the classes and it uses numeric conclusions. The proposed adaptation mechanism affects both the conclusions of the rules and the fuzzy prototypes of the premises by recentering and re-shaping them. Doing so, the FIS is automatically fitted to the handwriting style of the writer that is currently using the system. This adaptation mechanism has been tested with 8 different writers. The results show the adaptation mechanism is able to improve the recognition rate from 88% to 98.2% in average for the 26 Latin letters.
Harold Mouchère, Éric Anquetil, Nico
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Harold Mouchère, Éric Anquetil, Nicolas Ragot
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