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 :
character recognition; character recognition equipment; correlation methods; handwriting recognition; image resolution; notebook computers; prediction theory; video cameras; commercial high resolution pressure sensitive tablet; correlation methods; handwritten character recognition; human operators; pen-based computers; recursive prediction methods; spatiotemporal accuracy; spatiotemporal resolution; system performance; video camera; visual input; Cameras; Computer interfaces; Feeds; Filters; Humans; Image segmentation; Keyboards; Mice; Portable computers; Writing;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560630
