• 1G.SANGEETHA
• 2A.SENTHIL KUMAR

The digital data verification methods are able to detect regions that have been tampered with, but are too fragile to resist incidental manipulations. A new digital signature scheme which makes use of an image’s contents (in the wavelet transform domain) to construct a structural digital signature (SDS) for image authentication. Identification and verification of hard written signature from images is major issue. This is very difficult as even human eye does not have that much visual ability to identify every detail of the in handwritten. Signature changes every time so it is difficult for humans to identify the original and forged ones. By using deep learning which uses the sophisticated is digital configured replica of human brain, we can identify the forgery done in signature with higher accuracy.

Keywords: Authentication, digital signature, deep learning, digital configured replica, forgery, signature

"STRUCTURAL DIGITAL SIGNATURE FOR IMAGE AUTHENTICATION: USING ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.190-191, June 2019, Available :http://www.jetir.org/papers/JETIR1907167.pdf

"STRUCTURAL DIGITAL SIGNATURE FOR IMAGE AUTHENTICATION: USING ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp190-191, June 2019, Available at : http://www.jetir.org/papers/JETIR1907167.pdf