Abstract
In court proceedings, the question often arises: how much correspondence is there exactly between disputed writing and comparative writing patterns? According to handwriting examiners, handwriting cannot be measured in numbers. One of the reasons is that the handwriting experts use only a small part of the full feature complex, it is impossible to find and compare all of them manually. The selection is based on the expert’s experience, although contradictory opinions on the same test material can be given by different experts. Thus, the enhancement of expert objectivity in the court processes is highly desirable, my goal is to search for opportunities of application of computer science and approaches. The Soviet-type handwriting expertise methodology that is currently used in Hungary primarily interpreted the writing as a movement. In fact, traditional writing comparison treats handwriting as a moving stream. This observation led to the analysis of handwriting using the sequence matching method. This paper provides an example of how a sequence alignment algorithm for comparing DNA sequences can be used to compare handwriting. The suitability of the algorithm is illustrated by the fitting of fake and genuine signatures, and the expert opinion is based on numerical results on the value of the alignment.
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The project has been supported by the European Union, co-financed by the European Social Fund (EFOP-3.6.3-VEKOP-16-2017-00002).
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Erdélyi, K., Molnár, B. (2019). Similarity Measurement of Handwriting by Alignment of Sequences. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 997. Springer, Cham. https://doi.org/10.1007/978-3-030-22871-2_31
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