DocumentCode :
3023479
Title :
Writing speed normalization for on-line handwritten text recognition
Author :
Pastor, Moisés ; Toselli, Alejandro ; Vidal, Enrique
Author_Institution :
Inst. Tecnologic d´´Informatica, Univ. Politecnica de Valencia, Spain
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
1131
Abstract :
Pen-based interfaces aim at improving the man-machine interaction of many portable systems. While statistical models can be used to learn pen position sequences, they suffer from the huge variability exhibited by the speed of writing. To improve performance, invariance to the writing speed is needed. Trace segmentation is a technique that can be used to normalize the writing speed. This method is controlled by a parameter called resampling distance. A study of the resampling distance is presented here, along with another approximation to the writing speed normalization called "derivatives normalization". The improvement using trace segmentation was 193% relative to the baseline, whilst the improvement using derivatives normalization was 47.3% relative.
Keywords :
handwritten character recognition; text analysis; derivatives normalization; man-machine interaction; on-line handwritten text recognition; pen position sequence learning; pen-based interfaces; portable systems; resampling distance; statistical models; trace segmentation; writing speed normalization; Computer interfaces; Context; Handwriting recognition; Hidden Markov models; Keyboards; Man machine systems; Mobile computing; Portable computers; Text recognition; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.257
Filename :
1575720
Link To Document :
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