ISSN 2394-5125
 

Research Article 


FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA)

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy.

Abstract
A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. It is used in security features and can be compared to other biometrics, fingerprint or iris recognition systems. Face Recognition is helpful in many ways like checking criminal records, enhancement of security, pattern recognition etc. This project mainly focuses on recognizing faces using Principal Component Analysis(PCA). It is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences and also compress data. In this method, facial features are transformed in eigenspace using Principal Component Analysis, which is able to classify individual facial representations. Thus, trained faces have some Eigen values and weight. In order to identify faces, test images are compared with trained images. So, by comparing the weight (w) of an image with test images, we can recognize the actual face. The images are compared on the basis of eigenvalues and images with unique values are stored else they are discarded.

Key words: Facial recognition, PCA, eigenspace, eigenvalues.


 
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How to Cite this Article
Pubmed Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). JCR. 2020; 7(10): 1863-1872. doi:10.31838/jcr.07.10.328


Web Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). http://www.jcreview.com/?mno=112547 [Access: August 16, 2021]. doi:10.31838/jcr.07.10.328


AMA (American Medical Association) Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). JCR. 2020; 7(10): 1863-1872. doi:10.31838/jcr.07.10.328



Vancouver/ICMJE Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). JCR. (2020), [cited August 16, 2021]; 7(10): 1863-1872. doi:10.31838/jcr.07.10.328



Harvard Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy (2020) FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). JCR, 7 (10), 1863-1872. doi:10.31838/jcr.07.10.328



Turabian Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. 2020. FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). Journal of Critical Reviews, 7 (10), 1863-1872. doi:10.31838/jcr.07.10.328



Chicago Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. "FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA)." Journal of Critical Reviews 7 (2020), 1863-1872. doi:10.31838/jcr.07.10.328



MLA (The Modern Language Association) Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy. "FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA)." Journal of Critical Reviews 7.10 (2020), 1863-1872. Print. doi:10.31838/jcr.07.10.328



APA (American Psychological Association) Style

Pilaka Anusha, Kaki Leela Prasad, G. Ravi Kumar, E. Laxmi Lydia, Velmurugan Subbiah Parvathy (2020) FACIAL DETECTION IMPLEMENTATION USING PRINCIPAL COMPONENT ANALYSIS (PCA). Journal of Critical Reviews, 7 (10), 1863-1872. doi:10.31838/jcr.07.10.328