Open Access   Article

Face Recognition Based Security Scanner using PCA

Amrita Naik1 , Amrita Nagekar2 , Michael Monte3 , Aditya Parab4 , Ronan Revadkar5

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-10 , Page no. 1-4, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.14

Online published on Nov 30, 2018

Copyright © Amrita Naik, Amrita Nagekar, Michael Monte, Aditya Parab, Ronan Revadkar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Citation

IEEE Style Citation: Amrita Naik, Amrita Nagekar, Michael Monte, Aditya Parab, Ronan Revadkar, “Face Recognition Based Security Scanner using PCA”, International Journal of Computer Sciences and Engineering, Vol.06, Issue.10, pp.1-4, 2018.

MLA Style Citation: Amrita Naik, Amrita Nagekar, Michael Monte, Aditya Parab, Ronan Revadkar "Face Recognition Based Security Scanner using PCA." International Journal of Computer Sciences and Engineering 06.10 (2018): 1-4.

APA Style Citation: Amrita Naik, Amrita Nagekar, Michael Monte, Aditya Parab, Ronan Revadkar, (2018). Face Recognition Based Security Scanner using PCA. International Journal of Computer Sciences and Engineering, 06(10), 1-4.

           

Abstract

Immediately This paper proposes a novel Face Recognition based Security Scanner for keeping track of people moving in and out of a workplace using Haar Cascade and Principal Component Analysis. The proposed system trains the system using images and then detects and recognises the person and gives details about the person with the date and time.

Key-Words / Index Term

Face Detection, Face Extraction, Face Recognition, Principal Component Analysis, Haar Cascade

References

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