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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 5 | Month- May 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

Signature Verification Using Deep Learning

  Authors

  Yash Balvant Borse,  Anjali Narendra Patil,  Sumeet Chetan Shah,  Anand Gharu

  Keywords

Machine Learning, Deep Learning, Verification, Unique, Authentication

  Abstract


In recent years, online attacks have considerably increased. Users of online banking are not fully protected against these new and sophisticated assaults since two-factor authentication, which is employed to protect users, has not advanced at the same rate. This raises a crucial query: Is it feasible to increase user security for online activities? More particular, we want to know if user involvement can help to prevent online attacks. Signature verification is used for the human examination of a single known sample as opposed to the traditional handcrafted system, where a forger has access and can attempt to copy it. This system is used in commercial scenarios, such as bank cheque payments, business organisations, educational institutions, government sectors, the health care industry, etc. The necessity for effective auto-mated solutions for signature verification has grown since signatures are now the primary method of authentication and authorization in legal transactions. The handwritten signature's encoded values are particular to each person and nearly impossible to replicate.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A4030

  Paper ID - 235382

  Page Number(s) - h956-h960

  Pubished in - Volume 11 | Issue 4 | April 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Yash Balvant Borse,  Anjali Narendra Patil,  Sumeet Chetan Shah,  Anand Gharu,   "Signature Verification Using Deep Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.h956-h960, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A4030.pdf

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Call For Paper May 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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