• komal
• Dr.Rakesh joon

There is a crucial need for high security while accumulating data and information in abundantly manner. Biometrics is a technique in which individuals can be recognized automatically by using their metrics. Use of Biometrics and extensive acceptability for individual’s verification has prompted numerous techniques. By employing biometrics, the authorization of person’s individuality based on “who he/she is,” rather than by “what he/she holds is possible. Face recognition has been a fast developing, interesting and rousing zone in real time applications. A huge number of recognition algorithms have been established in recent epochs. In this paper an effort is made to review an extensive range of present methodologies of face recognition techniques, algorithms and certain perceptions into the studies of machine recognition of faces have been presented. A number of distinctive appearance based, feature based and hybrid based approaches are discussed in this paper. Additionally, some efforts have been put to summarize the purpose for using face recognition, applications and certain difficulties, disturbing current techniques.

Artificial Neural Networks (ANN), Biometric system, Elastic Bunch Graph Matching (EBGM), Face Recognition, Hidden Markov Model (HMM), Independent Component Analysis (ICA), Local binary pattern(LBP), Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA) Face Recognition, Linear Binary Pattern.

"Face Recognition LBP Feature Extraction and PCA Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.275-280, July-2018, Available :http://www.jetir.org/papers/JETIR1807505.pdf

"Face Recognition LBP Feature Extraction and PCA Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp275-280, July-2018, Available at : http://www.jetir.org/papers/JETIR1807505.pdf