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
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