Identification Of Birds

Identification Of Birds

Registration ID: IJNRD_207744

Published ID: IJNRD2310369

DOI: Click Here to Get

J Jenolin Jeba , M Krisanth , M Kavya

Gaussian Mixture Model, Neural networks, Machine learning

Identification of bird species is an important task in biodiversity preservation and ecosystem maintenance. The dataset of birds is collected and then we use Scale-Invariant Feature Transform (SIFT) to extract the key points and descriptors from the images. After that we create a visual vocabulary using BoVW (Bag of Visual Words). GMM model is used to distribute visual words histogram for each bird. Then Stochastic Gradient Descent (SGD) is implemented to minimize the loss function. This paper uses the methods of Gaussian Mixture Model and Neural networks to classify the birds with high accuracy.

Published Paper   E-Certificate

"Identification Of Birds", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 10, page no.d514-d517, October-2023, Available :https://ijnrd.org/papers/IJNRD2310369.pdf

Volume 8 Issue 10, October-2023

Pages : d514-d517

Paper Reg. ID: IJNRD_207744

Published Paper Id: IJNRD2310369

Downloads: 000121201

Research Area: Other

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310369.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310369

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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