Rakesh Meena
Rakesh Meena | |
|---|---|
 Rakesh Meena at Panjab University in 2024 | |
| Born | October 7, 1990 |
| Nationality | Indian |
| Alma mater | Banaras Hindu University and Panjab University |
| Known for | Research in Questioned document examination and Artificial Intelligence |
| Scientific career | |
| Fields | Forensic Science |
| Institutions | Panjab University Chandigarh, India |
| Academic advisors | Kewal Krishan |
Rakesh Meena (born October 7, 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]. 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.[2][3]. The AI-based models distinguish between real and forged handwritten signatures.[4].The models are based on Support Vector Machine (SVM) and Convolutional Neural Network (CNN) approaches and achieved accuracy of 90% and 84.5%, respectively, for differentiating between real and forged signatures.[5][6].
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 innovations have potential uses in forensic examination and criminal investigation.
References
[edit]- ^ "Handwriting can reveal suspects sex, says PU researcher". 23 November 2024.
- ^ "PU develops AI model to identify real signatures". 5 December 2024.
- ^ "Manual and Machine Learning Approaches for Classifying Real and Forged Signatures—A Comparative Study and Forensic Implications". 4 June 2025.
- ^ "PU granted copyright for AI-based signature identification model". 24 November 2024.
- ^ "PU researchers come up with AI-based model to identify forged signatures". 5 December 2024.
- ^ "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". 24 March 2025.
- ^ "Panjab University, Chandigarh developed AI model for identifying forged and real signatures-Copyright granted". 4 December 2024.