Recovery of temporal information from static images of handwriting

D. S. Doermann; A. Rosenfeld

doi:10.1109/CVPR.1992.223211

Recovery of temporal information from static images of handwriting

D. S. Doermann
, A. Rosenfeld

Department of Computer Science and Engineering

University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

31 Scopus citations

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.

Original language	English
Title of host publication	Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publisher	IEEE Computer Society
Pages	162-168
Number of pages	7
ISBN (Electronic)	0818628553
DOIs	https://doi.org/10.1109/CVPR.1992.223211
State	Published - 1992
Event	1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States Duration: Jun 15 1992 → Jun 18 1992

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	1992-June
ISSN (Print)	1063-6919

Conference

Conference	1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
Country/Territory	United States
City	Champaign
Period	06/15/92 → 06/18/92

Access to Document

10.1109/CVPR.1992.223211

Cite this

Doermann, D. S., & Rosenfeld, A. (1992). Recovery of temporal information from static images of handwriting. In Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 162-168). Article 223211 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June). IEEE Computer Society. https://doi.org/10.1109/CVPR.1992.223211

@inproceedings{4d13b0464c51451080882175ab15208f,

title = "Recovery of temporal information from static images of handwriting",

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.",

author = "Doermann, \{D. S.\} and A. Rosenfeld",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 ; Conference date: 15-06-1992 Through 18-06-1992",

year = "1992",

doi = "10.1109/CVPR.1992.223211",

language = "English",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

publisher = "IEEE Computer Society",

pages = "162--168",

booktitle = "Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

address = "United States",

}

Doermann, DS & Rosenfeld, A 1992, Recovery of temporal information from static images of handwriting. in Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition., 223211, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1992-June, IEEE Computer Society, pp. 162-168, 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992, Champaign, United States, 06/15/92. https://doi.org/10.1109/CVPR.1992.223211

Recovery of temporal information from static images of handwriting. / Doermann, D. S.; Rosenfeld, A.
Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 1992. p. 162-168 223211 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Recovery of temporal information from static images of handwriting

AU - Doermann, D. S.

AU - Rosenfeld, A.

PY - 1992

Y1 - 1992

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/33749703825

U2 - 10.1109/CVPR.1992.223211

DO - 10.1109/CVPR.1992.223211

M3 - Conference contribution

AN - SCOPUS:33749703825

T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

SP - 162

EP - 168

BT - Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition

PB - IEEE Computer Society

T2 - 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992

Y2 - 15 June 1992 through 18 June 1992

ER -

Doermann DS, Rosenfeld A. Recovery of temporal information from static images of handwriting. In Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society. 1992. p. 162-168. 223211. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). doi: 10.1109/CVPR.1992.223211

Recovery of temporal information from static images of handwriting

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this