Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  SIGNATURE VERIFICATION USING NEURAL NETWORK
PaperId: :  21769
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21769
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
NIVEDITAA T ABANNARI AMMAN INSTITUTE OF TECHNOLOGY
SACHIN K MBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SUSHINI MBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SUSEENDRAN SBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Computer Science and Engineering
data integrity, transaction, validation, precision, uniqueness, authenticity.
The In the digital age, digital signatures are crucial instruments for verifying the reliability and accuracy of electronic documents and transactions. The Structural Similarity Index (SSIM) algorithm is used in this study to improve the precision and dependability of the digital signature verification process. This study adapts the SSIM method, which is well known for its efficiency in assessing the caliber of photos and movies, to assess the authenticity of digital signatures, resulting in a novel approach to verification. This substantial study provides a thorough analysis of the existing literature and approaches while exploring the theoretical foundations of digital signatures and SSIM. Additionally, it describes the mathematical underpinnings of SSIM and illustrates how it can be used to analyze digital signatures. The study methodology entails the creation of a unique verification system that incorporates the SSIM algorithm into the process of validating signatures. This study also thoroughly examines noise, changes, and scaling, three aspects that affect the verification of digital signatures. It examines the SSIM algorithm's resilience to these difficulties and gives actual findings that show how effective it is in comparison to more conventional approaches. The practical usefulness of this approach is demonstrated by the evaluation of real-world scenarios, such as e-commerce transactions and document authentication. The consequences of this discovery extend to fields including finance, healthcare, and law where data integrity and authenticity are essential.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. "SIGNATURE VERIFICATION USING NEURAL NETWORK" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1652-1660
MLA NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. "SIGNATURE VERIFICATION USING NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1652-1660.
APA NIVEDITAA T A, SACHIN K M, SUSHINI M, & SUSEENDRAN S. (2023). SIGNATURE VERIFICATION USING NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1652-1660.
Chicago NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. "SIGNATURE VERIFICATION USING NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1652-1660.
Oxford NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. 'SIGNATURE VERIFICATION USING NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1652-1660. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SIGNATURE_VERIFICATION_USING_NEURAL_NETWORK_ijariie21769.pdf (Accessed : ).
Harvard NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. (2023) 'SIGNATURE VERIFICATION USING NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1652-1660IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SIGNATURE_VERIFICATION_USING_NEURAL_NETWORK_ijariie21769.pdf (Accessed : )
IEEE NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S, "SIGNATURE VERIFICATION USING NEURAL NETWORK," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1652-1660, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/SIGNATURE_VERIFICATION_USING_NEURAL_NETWORK_ijariie21769.pdf [Accessed : ].
Turabian NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. "SIGNATURE VERIFICATION USING NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver NIVEDITAA T A, SACHIN K M, SUSHINI M, and SUSEENDRAN S. SIGNATURE VERIFICATION USING NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 1652-1660. Available from: https://ijariie.com/AdminUploadPdf/SIGNATURE_VERIFICATION_USING_NEURAL_NETWORK_ijariie21769.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.