DocumentCode :
2220225
Title :
Writer identification by writer´s invariants
Author :
BENSEFIA, Ameur ; Nosary, Ali ; Paquet, Thierry ; Heutte, Laurent
Author_Institution :
Lab. Perception Sytemes Inf., Univ. de Rouen, Mont-Saint-Aignan, France
fYear :
2002
fDate :
2002
Firstpage :
274
Lastpage :
279
Abstract :
This communication deals with the problem of writer identification. If the assumption of writing individuality is true then graphical fragments that constitute it should be individual too. Therefore we propose a morphological grapheme based analysis to make writer identification. Template Matching is the core of the approach. The redundancy of the individual patterns in a writing, defined as the writer´s invariants, allows to compress the handwritten texts while maintaining good identification performance. Two series of tests are reported. The first series is designed to evaluate the relevance of our approach of identification on a basis of 88 writers by evaluating the influence of the text representation (with or without invariants) on the quality of the method. The method gives about 97,7% of correct identification when using large compressed samples of handwriting. The second series of tests is designed to evaluate the influence of the sample size of the writing to be identified on the quality of the method. It is shown that writer identification can reach a correct identification rate of 92,9% using only samples of 50 graphemes of each writing.
Keywords :
handwriting recognition; cursive handwritings; morphological analysis; morphological grapheme; offline identification; template matching; writer identification; Conferences; Feature extraction; Fingerprint recognition; Genetics; Handwriting recognition; Noise measurement; Noise reduction; Technical drawing; Testing; 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.2002.1030922
Filename :
1030922
Link To Document :
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