Title :
Temporal clues in handwriting
Author :
Doermann, David S. ; Rosenfeld, Azriel
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fDate :
30 Aug-3 Sep 1992
Abstract :
Handwritten character recognition is typically classified as online or offline depending on the nature of the input data. Online data consists of a temporal sequence of instrument positions while offline data is in the form of a 2D image of the writing sample. Online recognition techniques have been relatively successful but have the disadvantage of requiring the data to be gathered during the writing process. This paper presents work on the extraction of temporal information from static images of handwriting and its implications for character recognition
Keywords :
character recognition; feature extraction; character recognition; handwriting recognition; offline techniques; online techniques; temporal information extraction; Character recognition; Computer vision; Handwriting recognition; Instruments; Pattern recognition; Shape; Signal processing; Space technology; Text recognition; Writing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201781
