Publication Type : Journal Article
Publisher : IEEE
Source : 2023 7th international conference on trends in electronics and informatics (ICOEI) Pages 769-775
Url : https://ieeexplore.ieee.org/abstract/document/10126074
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : The method of recognizing and finding a human by their face in an image is called Human Face Detection and Recognition (HFDR). Application of Biometric method in detecting a human's Identity is called as HFD system. HFDR is a verification system designed to determine one's identity. Innovation in science and technology is rapidly achieving the peak level day by day. Artificial Intelligence (AI) and Machine Learning (ML) are the two such innovative inventions that kicked it up a notch and have turned the world to the next phase. This research is intended to detect and recognize faces using HFDR using ML. The consequences of the simulation experiment clearly show that the HFDR using ML method is best known for its accuracy in HFDR compared to the other algorithms used for Human Face Detection (HFD). The exactness of the proposed HFDR using ML method is illustrated through the experimental outcomes.
Cite this Research Publication : Malla, Joshita, Harshini Vemuri, SreeDivya Nagalli, S. Abhishek, and T. Anjali. "The Analysis of Neural Network Models to Distinguish AI generated faces from Real faces." Procedia Computer Science 233 (2024): 295-306.