Rakesh Meena
| Rakesh Meena | |
|---|---|
 Rakesh Meena.jpg Rakesh Meena at Panjab University in 2024 | |
| Born | 7 October 1990 Rajasthan, India |
| 🏳️ Nationality | Indian |
| 🎓 Alma mater | Banaras Hindu University and Panjab University |
| 💼 Occupation | |
| Known for | Research in Questioned document examination and Artificial Intelligence |
Rakesh Meena (born 7 October 1990) is an Indian forensic scientist specializing in questioned document examination and pursuing his doctoral research from the Department of Anthropology, Panjab University, Chandigarh, India.[1][2] He has immensely contributed to the development of modern signature science and is known for developing artificial intelligence-based models on the authentication of handwritten signatures.[3][4] Being a specialist in forensic analysis of handwritten signatures and handwriting science, Meena created computer software that can readily distinguish between genuine and forged signatures.[5]
Research in modern signature science
Rakesh Meena devised AI-based models that can distinguish between real and forged handwritten signatures.[6]. His models are based on Machine Learning algorithms especially Support Vector Machine (SVM) and Convolutional Neural Network (CNN) approaches which achieved accuracy of 90% and 84.5%, respectively, for differentiating between real and forged signatures.[7][8]
Innovations and software copyrights
Meena has been granted two Software Copyrights by the Copyright Office, Government of India, New Delhi on artificial intelligence-based signature authentication.[9][10] The software deveoped by Rakesh Meena are novel and rare as they can identify various individualistic features of the handwritten signatures and can distinguish between genuine and forged signatures.[11][12] The innovations have potential uses in forensic examination, criminal investigation, and other domains such as finance, law, and banking. Although the field of AI-based signature verification is growing rapidly, however, the experts having a blend of knowledge of the intersection of AI and forensic document examination are relatively small.[13][14] Rakesh Meena advanced this intersection of knowledge and developed more precise, consistent and reliable solutions to AI-based signature analysis.[15][16]
References
- ↑ Singh, Kanwar Inder (23 Mar 2025). "A new technique for identification of questioned signatures: Copyright granted to Panjab University". Royal Patiala. Royal Patiala. Retrieved 11 July 2025.
- ↑ Meena, Rakesh (3 Jul 2023). "Is it possible to estimate sex from signatures and handwriting? A review of literature, observations, and future perspectives". The Science of Nature. 110 (4). Bibcode:2023SciNa.110...32M. doi:10.1007/s00114-023-01862-9. PMID 37395867 Check
|pmid=value (help). Retrieved 11 July 2025. Unknown parameter|article-number=ignored (help) - ↑ Times News Network (5 Dec 2024). "PU develops AI model to identify real signatures". The Times of India. Retrieved 13 July 2025.
- ↑ Meena, Rakesh; Siwan, Damini; Krishan, Peehul; Guleria, Ankita; Ghosh, Abhik; Krishan, Kewal (4 June 2025). "Manual and Machine Learning Approaches for Classifying Real and Forged Signatures—A Comparative Study and Forensic Implications". Behavioral Sciences & the Law. doi:10.1002/bsl.70000. PMID 40462590 Check
|pmid=value (help). Unknown parameter|article-number=ignored (help) - ↑ Tribune News Service (23 Nov 2024). "Handwriting can reveal suspects sex, says PU researcher". The Tribune. Retrieved 13 July 2025.
- ↑ "PU granted copyright for AI-based signature identification model". MSN. 24 November 2024.
- ↑ Tribune News Service (5 Dec 2024). "PU researchers come up with AI-based model to identify forged signatures". The Tribune. Retrieved 13 July 2025.
- ↑ "PU has been granted a Copyright by the Government of India for developing an AI-based model to identify questioned signatures on important documents". 23 March 2025.
- ↑ "For developing new technique to identify forged signs: Centre grants copyright to PU". The Indian Express. 24 March 2025. Retrieved 12 July 2025.
- ↑ "Panjab University, Chandigarh developed AI model for identifying forged and real signatures-Copyright granted". 4 December 2024.
- ↑ Meena, Rakesh; Siwan, Damini; Peehul, Krishan; Guleria, Ankita; Ghosh, Abhik; Krishan, Kewal (4 June 2025). "Manual and Machine Learning Approaches for Classifying Real and Forged Signatures-A Comparative Study and Forensic Implications". Behavioral Sciences & the Law. doi:10.1002/bsl.70000. PMID 40462590 Check
|pmid=value (help). Retrieved 13 July 2025. Unknown parameter|article-number=ignored (help) - ↑ City Air News (4 Dec 2024). "Panjab University developed AI model for identifying real and forged signatures- Copyright granted". City Air News. Retrieved 13 July 2025.
- ↑ Orbograph (3 October 2023). "Check Forgeries: Leveraging AI and Machine Learning for Signature Verification". Orbograph. Retrieved 11 July 2025.
- ↑ Gundlapalli, Chandra. "How AI And ML Can Revolutionize Banks' Signature Verification Process". Forbes. Retrieved 11 July 2025.
- ↑ Hindustan Times (24 March 2025). "PU researchers granted Copyright for Ai model". Hindustan Times. Retrieved 11 July 2025.
- ↑ News 7World (4 Dec 2024). "Panjab University, Chandigarh developed AI model for identifying forged and real signatures- Copyright granted". News7World. Retrieved 11 July 2025.
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