Abstract—Face recognition is an integral part of biometrics. In biometrics basic traits of human is matched to the existing data and depending on result of matching identification of a human being is traced. Facial features are extracted and implemented through algorithms which are efficient and some modifications are done to improve the existing algorithm models. A face recognition system using the SIFT (Space invariant feature transformation) algorithm was implemented. The algorithm is based on Image features approach which represents a SIFT method in which a small set of significant features are used to describe the variation between face images. Experimental results for different numbers of faces are shown to verify the viability of the proposed method.
 

Index Terms—face recognition, facial features, SIFT

Cite: M. V. Rajarao, M. S. Raviteja, C. V. S. R. Phani kiran, and K. L Nrao Om Srivathsa, "Automated Identification and Reporting System by Face Recognition Using SIFT Algorithm," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 6, No. 4, pp. 12-16, October 2017. DOI: 10.18178/ijeetc.6.4.12-16