Damaging similarities in highly skilled signature simulations : their detection and authorship

Other Title(s)

أوجه التشابه الضارة في المحاكاة عالية المهارة للتوقيعات : تحديدها و تحديد كاتبها

Author

Joshi, Mahesh C.

Source

Arab Journal of Forensic Sciences and Forensic Medicine

Issue

Vol. 2, Issue 2 (31 Dec. 2020), pp.189-200, 12 p.

Publisher

Naif Arab University for Security Sciences Arab Society for Forensic Sciences and Forensic Medicine

Publication Date

2020-12-31

Country of Publication

Saudi Arabia

No. of Pages

12

Main Subjects

Law
Medicine

Abstract EN

Questioned document examination is a highly specialized and challenging field of study, because of the variety and complexity of problems that are referred to document examiners.

Detection and identification of practiced simulated forgeries is an area of forensic science which requires the professional skill, capability and acumen of an examiner, every time he (or she) is called upon to examine and report a case of this nature.

This is because firstly, the practiced simulations bear a striking semblance to the copied model and usually contains the handwriting features of the writers, the real person as well as the forger, though in varying degrees.Secondly, the skilled forger rarely leaves his own imprint in the forgery he committed.

Most authorities on the subject have advised that the identification of authorship, in such cases, may be considered as an exception rather than the rule.

Besides discussing and reviewing the work done in this regard, the authors have also presented and illustrated an intricate case study where the authorship of simulated signatures could be associated with the known handwriting of the suspected forger

American Psychological Association (APA)

Joshi, Mahesh C.. 2020. Damaging similarities in highly skilled signature simulations : their detection and authorship. Arab Journal of Forensic Sciences and Forensic Medicine،Vol. 2, no. 2, pp.189-200.
https://search.emarefa.net/detail/BIM-1276905

Modern Language Association (MLA)

Joshi, Mahesh C.. Damaging similarities in highly skilled signature simulations : their detection and authorship. Arab Journal of Forensic Sciences and Forensic Medicine Vol. 2, no. 2 (2020), pp.189-200.
https://search.emarefa.net/detail/BIM-1276905

American Medical Association (AMA)

Joshi, Mahesh C.. Damaging similarities in highly skilled signature simulations : their detection and authorship. Arab Journal of Forensic Sciences and Forensic Medicine. 2020. Vol. 2, no. 2, pp.189-200.
https://search.emarefa.net/detail/BIM-1276905

Data Type

Journal Articles

Language

English

Notes

Record ID

BIM-1276905