• Aroshi Sharma
• Suraj Pal

Mark verification and affirmation is a development that has the potential to enhance security in our public trade. A novel approach to disengaged mark check is demonstrated in this paper. A neural framework-based signature check is currently in the works, in which an image collection is created from the imprint left on paper by a scanner or camera. The proposed strategy relies on mathematical and real segment extraction for imprint confirmation, and a neural framework is used to prepare features from the entire information base shortly after. The distinct characteristics of the assessment mark are distinguished from the recently arranged characteristics of the reference signature. This method is suitable for a variety of applications, including bank transactions, travel documents with exceptional approval results, and so on.

Signature Verifier, Image Processing, MATLAB.

"ENHANCEMENT OF SIGNATURE VERIFICATION SYSTEM USING IMAGE PROCESSING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c279-c283, July-2023, Available :http://www.jetir.org/papers/JETIR2307232.pdf

"ENHANCEMENT OF SIGNATURE VERIFICATION SYSTEM USING IMAGE PROCESSING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc279-c283, July-2023, Available at : http://www.jetir.org/papers/JETIR2307232.pdf