 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Research on Texture Based Twins Face Identification By Using Hybrid LBP-LTP and Gabor-LDA Scheme with Gray Level Co-occurrences Matrix |
| Authors Name: | SHAILJA CHAURASIYA , Rahul Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187232
|
| Published Paper Id: | IJRTI2306128 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | http://doi.one/10.1729/Journal.34866 |
| Abstract: | Abstract– The identical face recognition system needs to be able to function even when similar-looking individuals are detected, or in the unlikely event of identical twins. In this article, authors introduce a strategy for face identification called the GOL texture feature method that combines the GLCM over LBP. The PCA is used in traditional research works for feature extraction, although higher efficiency is not achieved. The drawback was that the linear PC always presents the data in fewer dimensions than the standard PCA. There are times when non-linear principal elements are necessary. When performed to the information, standard PCA won't be able to identify a good sample orientation. In order to resolve these constraints, ongoing research is done employing a clustering-based classification approach in so that solid conclusions. The drawback of clustering-based classifier is that they only accomplish categorization on data samples that exactly match the ones being evaluated. As a result, pattern matching for other situations is not performed. In contrast to the current methods, it is evident that the implemented suggested scheme, LBP-SVM, yields 100% outcomes for detecting face recognition. |
| Keywords: | Face recognition, Identical Twins, Hybrid LBP-LTP, GLCM. |
| Cite Article: | "Research on Texture Based Twins Face Identification By Using Hybrid LBP-LTP and Gabor-LDA Scheme with Gray Level Co-occurrences Matrix", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.864 - 869, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306128.pdf |
| Downloads: | 000205207 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2306128
Registration ID:187232
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34866
Page No: 864 - 869 Country: Lucknow, Uttar Pradesh, India Research Area: Cryogenic Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306128 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306128 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||