@article{MAKHILLJEAS201813115390,
    title = {The Development of a Eigenface Detection System},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {1},
    pages = {64-69},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.64.69},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.64.69},
    author = {Tae-},
    keywords = {Face detection,mathematical analysis techniques,security system,certification industries,Eigenface,development},
    abstract = {This research was developed with the purpose of detecting and recognizing the face at a high speed
on real time and then applying the detection and the recognition to a security system. The algorithm that was
developed through this research was designed, so that, the effective distinguishing of the face is possible in
the low-resolution, video environment on real time. The face detection method is researched by verifying the
final facial domain through the eye, mouth and facial contours information after exploring the position of the
face by using the facial domain separation technique based on the dispersion. Regarding the real-time face
detection, the researches on the technologies for recognizing the faces and the researches that can trace the
facial domains on real time must take place at the same time. Especially, as the facial domain detection and
recognition take place regarding the subject who is traced, the mathematical analysis techniques regarding the
accurate distinguishing of the moving subject and the movement detection and tracing are needed. The
effective distinguishing of the face by the algorithm that has been developed through this research takes place
in the low-resolution, video environment. By detecting the face at a high speed and by distinguishing according
to it, the application of the security system is possible right away. The main application field of this research
is the living body recognition field. Among the living body recognitions, the facial recognition has been
receiving the attention especially because it possesses the strong points with regard to the economy, the
convenience, the convenience of the user, etc. As such a research result can be spread throughout the overall
security and certification industries, researcher believe that the forecast for the development in the future is
very bright.}
    }