DocumentCode :
1581212
Title :
Gray level use in a handwriting fractal approach and morphological properties quantification
Author :
Vincent, N. ; Freche, T.
Author_Institution :
LI/E3I, Univ. de Tours, France
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
307
Lastpage :
311
Abstract :
Here we present an original approach to gray level writing images that relies on fractal methods. Some new parameters are defined that allow quantification of some handwriting properties. Some volumes in a 3D representation are computed and their evolution with respect to observation scale is used. Two properties are more precisely presented, regularity of the line drawn and regularity of the patterns involved in the writing
Keywords :
document image processing; feature extraction; fractals; handwriting recognition; parameter estimation; fractal methods; gray level images; gray level text images; handwriting recognition; parameter extraction; quantification process; Character recognition; Data mining; Fractals; Handwriting recognition; Humans; Shape; Writing; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953804
Filename :
953804
Link To Document :
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