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This paper presents a survey of various algorithms for face recognition, focusing on the Local Binary Pattern (LBP) method and comparing it with other techniques such as Eigenfaces, Fisherfaces, Neural Networks, and Elastic Bunch Graph Matching. Each method is analyzed for its advantages and disadvantages, highlighting the challenges faced in face recognition due to variations in lighting, pose, and expressions. The conclusion emphasizes the need for further research to enhance the efficiency and performanc

Author

Pratyush

Language

EN