IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Signature Recognition using Fuzzy Graph Theory
Authors Name: N.Gayathri , A.Irin Feno , T. Keerthana
Unique Id: IJSDR1903005
Published In: Volume 4 Issue 3, March-2019
Abstract: In this paper, fuzzy graph theory is used to analyse and identify the signature pattern, which will be useful in forensic science, to find the duplicated signature. Signature is considered as a graph with fuzzy membership values. The concepts of spanning tree and Euclidean distance are used in this paper to get the desired results.
Keywords: Signature, Fuzzy Graph, Euler Graph, Spanning Tree, Weight of the spanning tree, Euclidean distance formula
Cite Article: "Signature Recognition using Fuzzy Graph Theory", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 3, page no.21 - 27, March-2019, Available :http://www.ijsdr.org/papers/IJSDR1903005.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1903005
Registration ID:190147
Published In: Volume 4 Issue 3, March-2019
DOI (Digital Object Identifier):
Page No: 21 - 27
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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