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Human Face Recognition System Using PCA
Abstract: Face detection is the process of identifying a human face where as face recognition is the process of verification of any known person?s face from the system?s database.Thus human face detection and recognition is the process of identification and verification of a known person?s face by providing input of that person?s facial image. This technique makes it possible to use the facial images of a person to authenticate him into a secure system, for criminal identification, for passport verification, terrorist detection and so on. Human face is a complex multidimensional structure and needs a good computing techniques for the recognition.Our approach treats face recognition as a two dimensional recognition problem.In this research paper face recognition is done by Principal Component Analysis (PCA) algorithm. This is a personal identification system that uses personal characteristics of a person?s face to identify that person?s face.In this paper the implementation is also done.
Keywords: Face recognition, Biometrics, PCA, MATLAB
Country: India, Subject Area: Pattern Recognition
Pages: 348 - 355
Edition: Volume 8 Issue 1, January 2019
How to Cite this Article?
Shikhar Choudhary, "Human Face Recognition System Using PCA", International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v8i1/ART20194132.pdf, Volume 8 Issue 1, January 2019, 348 - 355
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