Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-10-06
International Journal of Computer Technology and Applications, Vol 2 No 5, 2011, 1419 - 1425
Computer Science
Computer Vision and Pattern Recognition
rotation; scaling; translation; RST; image registration; signature verification
Scientific paper
Biometric authentication systems that make use of signature verification methods often render optimum performance only under limited and restricted conditions. Such methods utilize several training samples so as to achieve high accuracy. Moreover, several constraints are imposed on the end-user so that the system may work optimally, and as expected. For example, the user is made to sign within a small box, in order to limit their signature to a predefined set of dimensions, thus eliminating scaling. Moreover, the angular rotation with respect to the referenced signature that will be inadvertently introduced as human error, hampers performance of biometric signature verification systems. To eliminate this, traditionally, a user is asked to sign exactly on top of a reference line. In this paper, we propose a robust system that optimizes the signature obtained from the user for a large range of variation in Rotation-Scaling-Translation (RST) and resolves these error parameters in the user signature according to the reference signature stored in the database.
Chadha Aman
Jyoti Divya
Roja Mani M.
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