Последнее обновление: 25.10.2006   Статьи / Контекстная обработка

Контекстная обработка

ADAPTIVE CONTEXT PROCESSING IN ON-LINE HANDWRITTEN CHARACTER RECOGNITION Авторы: NAOMI IWAYAMA, KAZUSHI ISHIGAKI
Организация: Fujitsu Laboratories Ltd
Дата: ориентировочно 2002-2005 год
Кол-во страниц: 6
We propose a new approach to context processing in on-line handwritten character recognition (OLCR). Based on the observation that writers often repeat the strings that they input, we take the approach of adaptive context processing (ACP). In ACP, the strings input by a writer are automatically added to a dictionary designated for ACP. This dictionary thereby can provide good coverage of the strings a writer inputs. Furthermore, the dictionary is compact enough to be loaded on a small terminal. In our experiments, the first-hit rate of OLCR with ACP was 95.44% after all the strings to be input had been added to the ACP dictionary while that without ACP was 86.09%
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