Proc. SPIE. 5296, Document Recognition and Retrieval XI
KEYWORDS: Information fusion, Human-machine interfaces, Databases, Computing systems, Personal digital assistants, Telecommunications, Associative arrays, Optical character recognition, Systems modeling, Instrument modeling
Guiding a recognition task using a language model is commonly accepted as having a positive effect on accuracy and is routinely used in automated speech processing. This paper presents a quantitative study of the impact of the use of word models in online handwriting recognition applied to form-filling tasks on handheld devices. Two types of word models are considered: a dictionary, typically from few thousands and up to hundred-thousand words; and a grammar or regular expression generating a language several orders of magnitude bigger than the dictionary. It is reported that the improvement in accuracy obtained by the use of a grammar compares with the gain provided by the use of a dictionary. Finally, the impact of the word models on user acceptance of online handwriting recognition in a specific form-filling application is presented.