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3 Journal of Medical Informatics & Technologies

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Determining signatures' characteristic features using statistical methods

Para T., Mitas M.

Journal of Medical Informatics & Technologies

2008

Vol. 12

41--49

Many signatures verification systems have been developed so far. Most of them have some common algorithms and solutions. The problem is that authors of the solutions usually present the final results of a working system. They do not reveal effects of the particular components. This is why other researchers do not know which element improves the results and is worth using. This paper shows how to estimate, in an easy way, if the selected component/set of data/feature gives good results.

Signature characteristic points determination by means of the IPAN99 algorithm

Doroz R., Widuch S.

Journal of Medical Informatics & Technologies

2007

Vol. 11

105--113

The handwritten signature is often used for the identity confirmation. From the specialized graphic tablet, we receive the information in form of time strings. In this paper, the research results are presented which refer to the effect of applying the method of point detection of the highest curvature. Signatures are normalized by means of a DTW method, where two time strings representing the signature features are matched.

On-line signature recognition method based on linear regression

Para T., Porwik P., Wróbel K.

Journal of Medical Informatics & Technologies

2007

Vol. 11

97--104

Nowadays, automatic signature verification is an active area of researches in numerous applications such as bank check verification, access restriction or special areas such as police investigations. In our researches signature was captured by Topaz SigLite T-LBK750-HSB device, where some dynamic features of signature can be also registered. In many transactions, the electronic verification of a person's identity is beneficial, hence it inspires the development of a wide range of automatic identification systems. In this paper the system that automatically authenticates documents based on the owner's handwritten signature is presented.