General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

HOME > Archive > 2010 > Volume 2, Number 5 (Oct. 2010) >
IJCTE 2010 Vol.2(5): 688-691 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.225

Human Face Recognition Using Superior Principal Component Analysis (SPCA)

Arjun V. MANE, Ramesh R. MANZA and Karbhari V KALE

Abstract—Principal Component Analysis (PCA) is a statistical technique used for dimension reduction and recognition, & widely used for facial feature extraction and recognition. In this paper a cluster based SPCA face recognition method has been proposed. Experiments based on ORL face database have performed to compare the recognition rate between tradition PCA, Advanced principal component analysis (APCA), & SPCA. It is found that SPCA is giving the best classification result.

Index Terms—Security, Biometrics, Face Recognition, Principal Component Analysis, Eigenspace

  Arjun V Mane is with the Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad-431 004 (MS) INDIA, (telephone: +91-9923616649, e-mail: arjunmane7113@yahoo.co.in).
 Ramesh R. Manza, is with the Department of Computer Science andInformation Technology, Dr. Babasaheb Ambedkar Marathwada University,Aurangabad-431 004 (MS) INDIA, (telephone: +91-9421308853, e-mail: ramesh_manza@yahoo.com).
 Karbhari V Kale, is with the Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad-431 004 (MS) INDIA, (telephone: +91-9422203089, e-mail: kvkale91@gmail.com).

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Cite: Arjun V. MANE, Ramesh R. MANZA and Karbhari V KALE, "Human Face Recognition Using Superior Principal Component Analysis (SPCA)," International Journal of Computer Theory and Engineering vol. 2, no. 5, pp. 688-691, 2010.  

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