Person Identification System using Static-dyamic Signatures Fusion
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Description
Off-line signature verification systems rely on static
image of signature for person identification. Imposter can easily
imitate the static image of signature of the genuine user due to
lack of dynamic features. This paper proposes person identity
verification system using fused static-dynamic signature features.
Computational efficient technique is developed to extract and
fuse static and dynamic features extracted from offline and online
signatures of the same person. The training stage used the fused
features to generate couple reference data and classification stage
compared the couple test signatures with the reference data
based on the set threshold values. The system performance is
encouraging against imposter attacker in comparison with
previous single sensor offline signature identification systems.
Keywords
T Technology (General), TK Electrical engineering. Electronics Nuclear engineering