DocumentCode :
1639972
Title :
Geometric Centroids and their Relative Distances for Off-line Signature Verification
Author :
Prakash, H.N. ; Guru, D.S.
Author_Institution :
Dept. of Studies in Comput. Sci., Univ. of Mysore, Mysore, India
fYear :
2009
Firstpage :
121
Lastpage :
125
Abstract :
In this paper, we propose a new approach for symbolic representation of off-line signatures based on relative distances between centroids useful for verification. Distances between centroids of off-line signatures are used to form an interval valued symbolic feature vector for representing signatures. A method of off-line signature verification based on the symbolic representation is presented. We investigate the feasibility of the proposed representation scheme for signature verification on a MCYT_ signature database. We cluster similar signatures in each class and also investigate the cluster based symbolic representation for signature verification. Unlike other signature verification methods, the proposed method is simple and efficient. Several experiments are conducted to demonstrate the efficacy of the proposed scheme.
Keywords :
computational geometry; feature extraction; fuzzy set theory; handwriting recognition; image recognition; pattern clustering; MCYT signature database; fuzzy c means clustering; geometric centroid; interval valued symbolic feature vector representation; off-line signature verification; relative distance; Computer science; Handwriting recognition; Hidden Markov models; Pattern matching; Pattern recognition; Shape; Spatial databases; Support vector machines; Testing; Text analysis; Fuzzy c means clustering; Off-line signature verification; Relative distance between Geometric centroid; Symbolic feature vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.67
Filename :
5277765
Link To Document :
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