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P-PCC: Parallel Pearson Correlation Condition for Robust Cosmetic Makeup Face Recognitions

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Information Science and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 339))

Abstract

The performance of face recognition has been improved over the past; however, there remain some limitations, especially with noises and defects, such as occlusion, face pose, expression, and, in particular, cosmetic makeup change. Recently, the makeup has directly impacted on face characteristics, e.g., face shape, texture, and color, perhaps leading to low classification precision. Thus, this research proposes a robust approach to enhance the recognition accuracy for the makeup using Pearson Correlation (PC) combining with the channel selection (PCC). To further optimize the complexity, the parallelism of PCC was then investigated. This technique demonstrates the practicality and proficiency by outperforming the accuracy and computational time over a traditional PCA and PC.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Science, Khon Kaen University, 123 Mitaparb Rd.,Naimuang, Muang, Khon Kaen, 40002, Thailand

    Kanokmon Rujirakul & Chakchai So-In

Authors
  1. Kanokmon Rujirakul
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  2. Chakchai So-In
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Corresponding author

Correspondence to Chakchai So-In .

Editor information

Editors and Affiliations

  1. Department of Convergence Security, Kyonggi University, Institute of Creative Advanced Technology, Science and Engineering, Kyonggi-do, Korea, Republic of (South Korea)

    Kuinam J. Kim

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Rujirakul, K., So-In, C. (2015). P-PCC: Parallel Pearson Correlation Condition for Robust Cosmetic Makeup Face Recognitions. In: Kim, K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46578-3_30

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  • DOI: https://doi.org/10.1007/978-3-662-46578-3_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46577-6

  • Online ISBN: 978-3-662-46578-3

  • eBook Packages: EngineeringEngineering (R0)

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