In this paper, we propose a new method of
representation of on-line signatures by clustering of
signatures. Our idea is to provide better representation
by clustering of signatures based on global features.
Global features of signatures of each cluster are used
to form an interval valued feature vector which is a
symbolic representation for a cluster. Based on cluster
representation, we propose methods of signature
verification. We compare the feasibility of the
proposed representation scheme for signature
verification on a large MCYT_ signature database [1]
of 16500 signatures. Unlike other signature
verification methods, the proposed method is simple
and efficient and in addition, shows a remarkable
reduction in EER.