NEURAL NETWORK ALGORITHMS FOR FACE RECOGNITION
Sai Manas Rao Pulakonti
, Devarsh Kunala , Sai Krishna Reddy Mareddy , Vemula Shaashank Reddy , Maruneni Prachet
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.
"NEURAL NETWORK ALGORITHMS FOR FACE RECOGNITION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.861 - 864, November-2022, Available :https://ijsdr.org/papers/IJSDR2211123.pdf
Volume 7
Issue 11,
November-2022
Pages : 861 - 864
Paper Reg. ID: IJSDR_202676
Published Paper Id: IJSDR2211123
Downloads: 000347166
Research Area: Engineering
Country: Hyderabad, Telangana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
