Authors : Hira Khalid

Volume/Issue : Volume 9 - 2024, Issue 1 - January

Google Scholar : http://tinyurl.com/yevncr85

Scribd : http://tinyurl.com/5n7cs4kf

DOI : https://doi.org/10.5281/zenodo.10696621

Abstract : With the growing technology, various kinds of frauds are becoming so common, especially in the domain like face detection and other biometric systems. Additionally, it is hard for the service providers to keep data’s privacy. Moreover, it is required to protect the system from spoofing. Hackers could use fake-eyes, snaps for face identification to get themselves authenticated. These face recognitions could also be done by face detection by video streaming and by capturing specific moments of any individual. Also, these types of frauds could be done easily as our systems are unable to detect the real-life face and face extracted from photos and videos. Additionally, these photos and videos would be freely available by Internet and other sources. Now-a- days, many ideas are implemented for the detection of face liveness for the purpose of authentication. The paper will represent innovative detection of faces by the use of features’ fusion by using machine learning classifiers.

Keywords : Face Detection, Artificial Intelligence, Classification, Feature Extraction.