DocumentCode :
2220967
Title :
From ligatures to characters: a shape-based algorithm for handwriting segmentation
Author :
De Stefano, Claudio ; Marcelli, Angelo
Author_Institution :
DAEIIMI, Univ. di Cassino, Italy
fYear :
2002
fDate :
2002
Firstpage :
473
Lastpage :
478
Abstract :
This paper presents a method for locating the points where most likely joints between successive characters within a word occur. The proposed method, whose basic assumptions follow from handwriting generation studies, relies upon a set of morphological criteria applied to both the ligatures and the terminal regions of successive characters in order to decide the most appropriate position for the segmentation points. It does not exploit any temporal information, but rather it manipulates shape information, thus is suitable for both online and off-line handwriting processing. An experimental procedure, adopted to quantitatively evaluate the performance of the proposed algorithm without using any classification method, is also introduced.
Keywords :
handwritten character recognition; image segmentation; cursive word segmentation; handwriting movement; handwriting segmentation; ligatures; morphological criteria; segmentation points; shape-based algorithm; Character generation; Character recognition; Conferences; Data mining; Feature extraction; Handwriting recognition; Morphology; Shape; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
Print_ISBN :
0-7695-1692-0
Type :
conf
DOI :
10.1109/IWFHR.2002.1030955
Filename :
1030955
Link To Document :
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