Title :
Relative Orientations of Geometric Centroids for Off-line Signature Verification
Author :
Prakash, H.N. ; Guru, D.S.
Author_Institution :
Dept. of Studies in Comput. Sci., Univ. of Mysore, Mysore
Abstract :
In this paper, we propose a new approach for symbolic representation of off-line signatures useful for verification. The proposed approach is based on relative orientations of geometric centroids of split portions of signatures. Centroid orientation features 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. 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; digital signatures; handwriting recognition; MCYT_signature database; centroid orientation features; geometric centroids; interval valued symbolic feature vector; offline signature verification; Computer science; Handwriting recognition; Hidden Markov models; Neural networks; Pattern matching; Pattern recognition; Shape; Spatial databases; Support vector machines; Testing; Centroid orientation; Geometric centroid; Off-line signature verification; Symbolic feature vector;
Conference_Titel :
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-3335-3
DOI :
10.1109/ICAPR.2009.28