• R.Ravinder Naik

Automated Facial Recognition System is the advancement that has taken place in the field of automation replacing traditional security systems. Automated Security Systems are generally bio-metric based and iris detection based. These systems are widely used in different organizations. The above mentioned systems have a less scope of security when compared to Face Detection System. This helps in having a great deal of security for any organization. This system is mainly proposed and developed for some crucial processes such as person identifications, verification or recognition especially for building access control, suspect identifications by the police, driver licenses and many others. The techniques used in this system is Eigen faces based on principle component analysis (PCA). The main factors taken into consideration are illumination, distance and subject’s head orientation. The performance of the system is considered to be 80% efficient at the distance between 40-60cm.

Face Recognition, Eigenface, Principal Component Analysis

" Automated Facial Recognition System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.608-610, April-2019, Available :http://www.jetir.org/papers/JETIR1904M90.pdf

" Automated Facial Recognition System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp608-610, April-2019, Available at : http://www.jetir.org/papers/JETIR1904M90.pdf