Rakesh Meena
Comment: How does this person meet WP:NACADEMIC? qcne (talk) 19:43, 11 July 2025 (UTC)
| Rakesh Meena | |
|---|---|
| File:Rakesh Meena.jpgRakesh 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 serving as Assistant Professor of Forensic Science at Mody University of Science and Technology in Rajasthan, India[1]. He contributed to the development of modern signature science and is known for developing artificial intelligence-based models for the authentication of handwritten signatures.[2][3] Meena developed computer software that can readily distinguish between genuine and forged signatures.[4]
Education
He completed his doctoral research on forensic document examination from the Department of Anthropology, Panjab University, Chandigarh, India.[5][6]
Research career 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.[7][8] The software 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.[9][10] The software can identify various individualistic features of the handwritten signatures and can distinguish between genuine and forged signatures.[11][12]
References
- ↑ "Rakesh Meena". Mody University of Science and Technology. Retrieved 15 August 2026.
- ↑ 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.
- ↑ 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) - ↑ "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.
- ↑ 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.
- ↑ 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) - ↑ "Panjab University developed AI model for identifying real and forged signatures- Copyright granted". City Air News. 4 December 2024. Retrieved 15 August 2026.
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