International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE |
Signature Authenticity Detection using Enhanced Neural Networks and Visual Feature Analysis Dr. M.V. Vijayakumar, Aman Kumar, Rajneesh Ravi Raj, Abhinav Kumar, Sahil Khursheed Professor, Department of Information Science & Engineering, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India Undergraduate Students, Department of Information Science & Engineering, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India DOI: 10.15680/IJIRCCE.2025.1301031 |
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| pdf/vSl0qMRJeNKnhN4ZKEb9mmCmXKlnLtqqan2NK58N.pdf |
