@article{MAKHILLIJSC202015121475,
    title = {Automatic Facial Recognition Photo Tagging using Two Spaces Color and Eigenface
Algorithm},
    journal = {International Journal of Soft Computing},
    volume = {15},
    number = {1},
    pages = {7-12},
    year = {2020},
    issn = {1816-9503},
    doi = {ijscomp.2020.7.12},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2020.7.12},
    author = {Mohammad and},
    keywords = {Color skin,tagging,detection face,recognition face,color space,Eigenface,threshold},
    abstract = {In this research, we proposed a system to
automatic facial recognition photo tagging. Automatic
tagging in photo is challenging of both side the face
detection and the face recognition standpoints we need
face detection and then recognition. We rely on the Color
space YCrCb as well as the Color space HSV to extract
skin region. Then we examined skin face candidate by
searching for the eyes using a Viola Jones algorithm.
When we detect an eye, this region will be a face.
Regions that do not have eyes are dismissed because they
are likely to be either legs or hands. Later, we divide faces
to tag it then save them as a database or used as faces of
query to be tagged. Eigenface algorithm does the process
of recognition. Using two space color improves extracting
skin. The Viola Jones algorithm ensures the accuracy of
eyes searching results. But it requires long processing
time. In this research the search performance of the
algorithm is improved to achieve quick results. Therefore,
result has been very good when tagging the same photo.}
    }