Off-line signature verification based on feature matching

This paper presents a novel approach for off-line signature verification. First the different aspects and problems of signature verification are discussed in conjunction with off-line analysis methods. It is shown, that on-line analysis methods perform usually better than off-line methods because they can make use of the temporal information (and thereby get a better perception of the semantics of the signature). An assumption is made, that off-line verification methods have difficulties improving their results because of the high level of abstraction they use, which is a direct consequence of the missing semantics. Afterwards a solution is presented with the ability to preserve some semantic information, and thereby deliver a better ability to analyze the results and optimize the system.