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
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:
000337212
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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