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) |
| papers |
Signature Verification and Forgery Recognition System Using Machine Learning Prof. A.S. Pingle, Onkar Mandlik, Aniket Madiwale, Shrikrushna. S. Dhamankar Department of Information Technology Engineering, Pune Vidyarthi Girah’s College of Engineering & Institute of Management, Nashik, India DOI: 10.15680/IJIRCCE.2024.1205297 |
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| pdf/wbUc5W4ipgOmkW8K55VWRLPNvCAzjqTiXVNs5Jpe.pdf |
