Recovery of temporal information from static images of handwriting

Author

Doermann, David S. ; Rosenfeld, Azriel

Author_Institution

Comput. Vision Lab., Maryland Univ., College Park, MD, USA

fYear

1992

fDate

15-18 Jun 1992

Firstpage

162

Lastpage

168

Abstract

A taxonomy of local, regional, and global temporal clues that, along with a detailed examination of the document, allow temporal properties to be recovered from the image is provided. It is shown that this system will benefit from obtaining a comprehensive understanding of the handwriting signal and that it requires a detailed analysis of stroke and sub-stroke properties. It is suggested that this task requires breaking away from traditional thresholding and thinning techniques, and a framework for such analysis is presented. It is shown how the temporal clues can reliably be extracted from this framework and how many of the seemingly ambiguous situations can be resolved by the derived clues and knowledge of the writing process

Keywords

character recognition; detailed analysis; handwriting signal; sub-stroke properties; temporal clues; temporal properties; writing process; Character recognition; Computer vision; Data mining; Educational institutions; Handwriting recognition; Image recognition; Laboratories; Pattern recognition; Text recognition; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on

Conference_Location

Champaign, IL

ISSN

1063-6919

Print_ISBN

0-8186-2855-3

Type

conf

DOI

10.1109/CVPR.1992.223211

Filename

223211