Research Paper Report

SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment

Date of Submission
6th Feb 2024

General Information:

Year Of Paper Submission : 2023-24
Type of Applicant : Student
Selected Course : UG
Department of Applicant : IT
Class of Applicant : B.E.

Applicants Details:

UCID of Applicant : 2020400003
Applicant Name : Anmol Chokshi
Applicant Email : anmol.chokshi@spit.ac.in
Applicant Contact Number : 9833588946
UCID of Applicant No. 2 : 2020400014
Applicant No. 2 Name : Vansh Jain
Applicant No. 2 Email : vansh.jain2@spit.ac.in
Applicant No. 2 Contact Number : 7021684250
UCID of Applicant No. 3 : 2020100004
Applicant No. 3 Name : Rajas Bhope
Applicant No. 3 Email : rajas.bhope@spit.ac.in
Applicant No. 3 Contact Number : 8976011249

Guide Details:

Department of Guide No. 1 : Computer Engineering
Name of First Guide : Dr. Sudhir Namdeorao Dhage

Paper Details:

Title of Paper : SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment
Type of Paper : international
Type of Publication : international
Name of the Conference/journal/publisher : International Conference on Modelling Simulation & Intelligent Computing (MoSICom 2023)
Date Of Conference / Journal / Book : 2023-12-08
Conference_Type : ieee
Name of the Hosting Institute of the Conference : BITS-Pilani Dubai Campus
Address of Host Institute : Dubai Campus - Academic City - Dubai - United Arab Emirates
Indexed : Scopus
Remark : The paper has been accepted and presented at the conference. Moreover, the certificates have also been issued. Only publishment in IEEE is left.