@inproceedings{52fb20b4a3974eb0912a68a303bbd8b6,
title = "Temporal clues in handwriting",
abstract = "Handwritten character recognition is typically classified as on-line or off-line depending on the nature of the input data. On-line data consists of a temporal sequence of instrument positions while off-line data is in the form of a 2D image of the writing sample. On-line recognition techniques have been relatively successful but have the disadvantage of requiring the data to be gathered during the writing process. Although the temporal information from on-line data is not directly available from static images of handwriting, the experience of forensic document examiners assures us that such information can be successfully recovered. This paper presents work on the extraction of temporal information from static images of handwriting and its implications for character recognition.",
author = "Doermann, \{David S.\} and Azriel Rosenfeld",
note = "Publisher Copyright: {\textcopyright} 1992 Institute of Electrical and Electronics Engineers Inc. All rights reserved.; 11th IAPR International Conference on Pattern Recognition, IAPR 1992 ; Conference date: 30-08-1992 Through 03-09-1992",
year = "1992",
doi = "10.1109/ICPR.1992.201781",
language = "English",
isbn = "0818629150",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "317--320",
booktitle = "Conference B",
address = "United States",
}