Research paper on signature verification

This paper proposes a novel framework for offline signature verification. Different from previous methods, our approach makes use of online handwriting instead of handwritten images for registration. The online registrations enable robust recovery of the writing trajectory from an input offline signature and thus allow effective shape matching between registration and verification signatures. In addition, we propose several new techniques to improve the performance of the new signature verification system: 1. Experiments on a benchmark database show that the proposed method significantly outperforms the wellknown offline signature verification methods and achieve comparable performance with online signature verification methods.
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While the terms verification and validation are used interchangably in papers and texts, there are distinct differnences in their terminology. According to the IEEE Standard Glossary of Software Engineering Terminology, verification is defines as "The process of evaluating a system or component to determine whether the products of a given development phase satisfy the conditions imposed at the start of that phase. Verification will not detect errors resulting from incorrect input specification and these errors may propagate without detection through later stages in the development cycle. It is not enough to only depend on verification, so validation is necessary to check for problems with the specification and to demonstrate that the system is operational. Finally, certification is "A written guarantee that a system or compnent complies with its specified requirements and is acceptable for operational use. There are many different verification techniques but they all basically fall into 2 major categories - dynamic testing and static testing.
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