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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Authors Name: Sai Manas Rao Pulakonti , Devarsh Kunala , Sai Krishna Reddy Mareddy , Vemula Shaashank Reddy , Maruneni Prachet
Unique Id: IJSDR2211123
Published In: Volume 7 Issue 11, November-2022
Abstract: Computer vision and its applications have become important in today's life. Therefore, research in the field of face and object recognition is increasingly important for both researchers and practitioners. Smart devices such as smartphones now have high processing power, storage capacity and high resolution cameras. In addition, connection bandwidth and interaction speed have a significant impact on the popularity of mobile object detection applications. These developments, along with advances in computer vision algorithms, brought object recognition from the desktop environment to the mobile world. The purpose of this research paper is to demonstrate the effectiveness and accuracy of existing open source facial recognition algorithms in real-world environments. It uses the following popular open source efficiency evaluation algorithms: Local Binary Pattern (LBP), Gabor Filter, PCA Eigenfaces. The results of this study will help practitioners make algorithm selection decisions and help researchers decide how to further improve the accuracy of current algorithms.
Cite Article: "NEURAL NETWORK ALGORITHMS FOR FACE RECOGNITION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.861 - 864, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211123.pdf
Downloads: 000150695
Publication Details: Published Paper ID: IJSDR2211123
Registration ID:202676
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 861 - 864
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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