Face Recognition Based Security Scanner using PCA

Authors

  • Naik A Computer Engineering Dept, Don Bosco College of Engineering, Goa University, Margao, India
  • Nagekar A Computer Engineering Dept Don Bosco College of Engineering, Goa University, Margao, India
  • Monte M Computer Engineering Dept Don Bosco College of Engineering, Goa University, Margao, India
  • Parab A Computer Engineering Dept Don Bosco College of Engineering, Goa University, Margao, India
  • Revadkar R Computer Engineering Dept Don Bosco College of Engineering, Goa University, Margao, India

DOI:

https://doi.org/10.26438/ijcse/v6si10.14

Keywords:

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

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.

References

[1] Santhosh Shetty, Paritosh Kelkar,K Manikantan, S Ramachandran, “Shift Invariance based Feature Extraction and Weighted BPSO based Feature Selection for Enhanced Face Recognition”, International Conference on Computational Intelligence: Modeling, Techniques and Applications(CIMTA) 2013 Procedia Technology 10(2013)822-830

[2] R. Jafri, H. R. Arabnia, “A Survey of Face Recognition Techniques”, Journal of Information Processing Systems, Vol.5, No.2, June 2009

[3] Zhao , W. chellappa , R. Phillips, P.J Rosenfeld , “Face Recognition: A Literature Survey”, ACM Computing Surverys (CSUR), V.35, Issue 4, pp.399-458 2003

[4] Chan A.B. Liang Z.S.J, Vaconcelos N.,” Privacy preserving crowd monitoring: Counting people without people models or tracking //Computer Vision and Pattern Recognition”, 2008. CVPR 2008. IEEE Conference on—IEEE,2008-C. 1-7

[5] T.Chandrasekhar, Dr.K GIRIBABU, Dr. Ch. Sumanth Kumar, “A Novel Approach of Face Recognition using Statistical Features and Neural Networks”, GITAM University, Visakhapatnam V.V.I.T Nambur, International Jouranl of Engineering and Innovative Technology (IJEIT) Volume 4, Issue11, May 2015

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Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6si10.14
Published: 2025-11-17

How to Cite

[1]
A. Naik, A. Nagekar, M. Monte, A. Parab, and R. Revadkar, “Face Recognition Based Security Scanner using PCA”, Int. J. Comp. Sci. Eng., vol. 6, no. 10, pp. 1–4, Nov. 2025.

Issue

Vol. 6 No. 10 (2018): IJCSE Special Issue November Edition

Section

Research Article

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