On Potential Use of Artificial Intelligence and Its Technologies in Forensic Handwriting Examination

An undeniable trend in modern scientific and technological development is the integration of artificial intelligence systems into various spheres of human life and activity. Forensic handwriting analysis is also in the focus of scientific community as a potential application area for the related neural networks as evidenced by numerous publications and emerging software products.

However, alongside the attractive prospects of error-free “machine intelligence” use in handwriting examinations, a number of fundamentally important questions arise related to both the specific nature of the primary object of examination the phenomenon of handwriting and the procedural status of a forensic expert in legal proceedings and his expert opinion as a source of evidentiary information in the case. Therefore, this area of scientific and practical knowledge requires not a mere adoption and application of new technologies but rather their in-depth understanding through the prism of scientific and theoretical basics of forensic handwriting analysis and the procedural significance of forensic examination results. Taking into account the above, this paper attempts to provide a competent analysis of the current situation in terms of feasibility of artificial intelligence systems and its technologies application in forensic handwriting examinations.

1. Orlova V.F. (ed.). Forensic Handwriting Examination. Special Part: Examination of Small-Scale Handwriting Objects. 2nd ed. Moscow: RFCFS, 2011. 538 p. (In Russ.).

2. Orlova V.F. (ed.). Forensic Handwriting Examination. Examination of Small-Scale Handwriting Objects. 2nd ed. Moscow: EKOM, 2011. 538 p. (In Russ.).

3. Zhizhina M.V. Information Technologies in Forensic Handwriting Examination. Forensic Examination and Studies. 2022. No. 1. P. 65–70. (In Russ.).

4. Kupin A.F., Kovalenko A.S. On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites. Theory and Practice of Forensic Science. 2023. Vol. 18. No. 4. P. 28–35. (In Russ.). https://doi.org/10.30764/1819-2785-4-28-35

5. Chernyshev K.A. Technological Support of Forensic Examination of Handwritten Material with Introduction of Neural Networks. Theory and Practice of Forensic Science. 2025. Vol. 20. No. 3. P. 72–84. (In Russ.). https://doi.org/10.30764/1819-2785-2025-3-72-84

6. Ivanov A.I., Gazin A.I., Kachaikin E.I., Andreev D.Y. Automation of Graphologic Examination Based on Teaching Large Artificial Neuronal Nets. Models, Systems. Networks in Economics, Technology, Nature and Society. 2016. No. 1 (17). P. 249–257. (In Russ.).

7. Rossinskaya E.R., Galyashina E.I., Zinin A.M. Theory of Forensic Science (Forensic Expertoloty) / E.R. Rossinskaya (ed.). 2nd ed. Moscow, 2016. 368 p. (In Russ.).

8. Orlova V.F. (ed.). Forensic Handwriting Examination. General part: Theoretical and Methodological Bases. 2nd ed. Moscow: Nauka, 2006. 543 p. (In Russ.).

9. Orlova V.F., Li L.E., Smirnov A.V. A Priori Informative Value Assessment of a Signature. Expert Practice and New Examination Methods. Vol. 18. Moscow: VNIISE, 1983. P. 1–22. (In Russ.).

10. Lekanova L.G. Forensic Handwriting Examination for Brief Records Identification. Methodical Letter for Experts. Moscow: VNIISE, 1986. 38 p. (In Russ.).

11. Dutova N.V., Li L.E., Orlova V.F., Smirnov A.V. Differentiation of Original Signatures and Signatures Made with Imitation after Preliminary Training. Methodical Letter. Moscow: VNIISE, 1984. 98 p. (In Russ.).

12. Arkhipov G.F., Dutova N.V., Li L.E., Orlova V.F., Panova R.Kh., Smirnov A.V. Comprehensive Methodology for Establishing Authenticity (Inauthenticity) of Short and Simple Signatures. Methodological Guide for Experts. Moscow: VNIISE, 1987. 119 p. (In Russ.).

13. Zhakova T.M., Orlova V.F., Smirnov A.V. Methods of Forensic Handwriting Examination of Similar Signatures (the Quantitative One). Moscow: Nauka, 2008. 32 p. (In Russ.).

14. Smirnov A.V., Yakovleva E.V. Methods for Establishing the Fact of Brief Records Execution in Intentionally Altered Cursive Handwriting. Theory and Practice of Forensic Science. 2007. No. 4 (8). P. 129–142. (In Russ.).

15. Smirnov A.A. A Quantitative Procedure for Multi-Object Investigation of Short and Simple Signatures. Theory and Practice of Forensic Science. 2018. No. 13 (4). P. 100–110. (In Russ.). https://doi.org/10.30764/1819-2785-2018-13-3-100-110

16. Orlova V.F., Smirnov A.V. Examination of Signatures Made in Unusual Conditions. Methodological Guide for Experts. Moscow: VINITI, 2002. 216 p. (In Russ.).

17. Orlova O.F. Forensic Handwriting Diagnostics. 2nd ed. Moscow: Nauka, 2006. 207 p. (In Russ.).

18. Chesnokova E.V., Usov A.I., Omel’yanyuk G.G., Nikulina M.V. Artificial Intelligence in Forensic Expertology. Theory and Practice of Forensic Science. 2023. No. 18 (3). P. 60–77. (In Russ.). https://doi.org/10.30764/1819-2785-2023-3-60-77