• Anshita Shukla

Face recognition has remained a competitive and huge area of research in image processing system. This paper discusses major two approaches, first is featured based and second is statistical .Former comprises of Scale Space Filtering, Elastic Bunch Graph and the later one includes PCA and LDA techniques for recognition. This review provides a brief comparative study between the features of face recognition techniques and also discussed the performance under different circumstances.

Elastic Bunch Graph Matching (EBGM) Scale Space Filtering (SSF), Principal Component Analysis (PCA), Linear Discriminate Analysis (LDA).

"A Comparative Study On Face Recognition Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.95-100, June 2019, Available :http://www.jetir.org/papers/JETIR1907B78.pdf

"A Comparative Study On Face Recognition Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp95-100, June 2019, Available at : http://www.jetir.org/papers/JETIR1907B78.pdf