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Problems of Forensic Sciences

Classifying handwriting samples according to their type using discriminant analysis

Data publikacji: 08.05.2023

Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych), 2022, 132, s. 241 - 257

https://doi.org/10.4467/12307483PFS.22.013.17686

Autorzy

Jagoda Dzida
Uniwersytet Adama Mickiewicza w Poznaniu, Wieniawskiego 1, 61-712 Poznań
https://orcid.org/0000-0001-9057-5294 Orcid
Wszystkie publikacje autora →

Abstrakt

Classifying handwriting samples according to their type (i.e. natural, disguised, traced, simulated or unintentionally unnatural) is an important task in handwriting analysis. It may facilitate the collection of writing standards and also help experts to assess the differences between questioned material and comparative samples or to choose the best writing features and the most relevant examination protocol for the case. Current research aimed to create a method for classifying the type of a handwriting sample using discriminant analysis. Five basic types (i.e. natural, disguised, traced, simulated and unintentionally unnatural) and some subtypes were included in this study. Participants (N = 139) wrote their full signatures, fictional signatures or a short sentence. Motor and dimensional features were assessed. The methods proved to be more than twice as accurate in classifying samples according to their type than a random choice probability (e.g. 44% as opposed to 17% for the 6-types classifier). This proof-of-a-concept study demonstrates that handwriting samples may be classified according to their type with satisfying accuracy based on their writing features and statistical tools of discriminant analysis. However, further studies are necessary to improve the accuracy of the method.

Bibliografia

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Informacje

Informacje: Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych), 2022, s. 241 - 257

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Angielski:

Classifying handwriting samples according to their type using discriminant analysis

Autorzy

https://orcid.org/0000-0001-9057-5294

Jagoda Dzida
Uniwersytet Adama Mickiewicza w Poznaniu, Wieniawskiego 1, 61-712 Poznań
https://orcid.org/0000-0001-9057-5294 Orcid
Wszystkie publikacje autora →

Uniwersytet Adama Mickiewicza w Poznaniu, Wieniawskiego 1, 61-712 Poznań

Publikacja: 08.05.2023

Otrzymano: 27.12.2022

Zaakceptowano: 31.01.2023

Status artykułu: Otwarte __T_UNLOCK

Licencja: CC BY-NC-ND  ikona licencji

Udział procentowy autorów:

Jagoda Dzida (Autor) - 100%

Korekty artykułu:

-

Języki publikacji:

Angielski, Polski

Liczba wyświetleń: 223

Liczba pobrań: 248

Sugerowane cytowania: Vancouver

Dzida J.

Classifying handwriting samples according to their type using discriminant analysis

. Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych). 2023;2022 (132): 241-257