Visual input for pen-based computers

Author

Munich, Mario E. ; Perona, Pietro

Author_Institution

California Inst. of Technol., Pasadena, CA, USA

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

173

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560630

Filename

560630