Title :
Visual input for pen-based computers
Author :
Munich, Mario E. ; Perona, Pietro
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Abstract :
Handwriting may be captured using a video camera, rather than the customary pressure-sensitive tablet. This paper presents a simple system based on correlation and recursive prediction methods that can track the tip of the pen in real time with sufficient spatio-temporal resolution and accuracy to enable handwritten character recognition. The system is tested on a large and heterogeneous set of examples and its performance is compared to that of three human operators and a commercial high-resolution pressure-sensitive tablet
Keywords :
active vision; computer vision; handwriting recognition; optical character recognition; active vision; handwriting acquisition; handwritten character recognition; pen-based computers; real time; real-time vision; recursive prediction; spatio-temporal resolution; video camera; visual input; Cameras; Character recognition; Computer interfaces; Humans; Keyboards; Mice; Portable computers; Prediction methods; Real time systems; System testing;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546790
