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Image Pre-processing Techniques for Enhancing the Performance of Real-Time Face Recognition System Using PCA

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Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 70))

Abstract

In the last decade face recognition has made significant advances, but it can still be improved by applying various techniques. The areas that have high promise of improvement are those that utilize preprocessing techniques. The main objective of this study is to improve the auto face recognition system performance using off-the-shelf image library. Face detection technique plays a significant role in recognition process. The process chains used to detect human face are those that comprises of color segmentation, localization using Haar-like cascade algorithm and geometry normalization. Subsequently, one half portion of the facial image was selected to be used as the calculated average half-face image. The high-dimensionality of the image value is further reduced by generating Eeigenfaces. This is followed by the classification process that was achieved by calculating the Eigen distances values and comparing values of image in the database with the captured one. Finally, the verification tests are carried out on images obtained from VidTIMIT database to evaluate the recognition performance of the proposed framework. The resultant tests from the data set yielded the following results: true acceptance rate at 91.30 % and false acceptance rate at 33.33 %. The obtained experimental results illustrates the proposed image preprocessing framework improves the recognition accuracy as compared to not applying it.

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Notes

  1. 1.

    Negative Result \(=\) False Image Negative Result \(+\) True Image Negative Result.

  2. 2.

    Positive Result \(=\) True Image Positive Result \(+\) False Image Negative Result.

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Acknowledgments

We express our deepest appreciation to Universiti Teknologi Malaysia for their financial support and encouragement during the course of this study, colleagues for their invaluable view and tips and lastly to our family for their spiritual support and encouragements.

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Authors and Affiliations

  1. Advanced Informatics School (UTM AIS), Universiti Teknologi Malaysia, Wilayah Persekutuan, 54100, Kuala Lumpur, Malaysia

    Behzad Nazarbakhsh & Azizah Abd Manaf

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  1. Behzad Nazarbakhsh
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  2. Azizah Abd Manaf
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Correspondence to Behzad Nazarbakhsh .

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Editors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Multimedia Control and Assurance Laboratory, Hannam University, Taejeon, Korea, Republic of (South Korea)

    Tai-Hoon Kim

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Faculty of Engineering, Al Azhar University, Qena, Egypt

    Ali Ismail Awad

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Nazarbakhsh, B., Manaf, A.A. (2014). Image Pre-processing Techniques for Enhancing the Performance of Real-Time Face Recognition System Using PCA. In: Hassanien, A., Kim, TH., Kacprzyk, J., Awad, A. (eds) Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations. Intelligent Systems Reference Library, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43616-5_15

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  • DOI: https://doi.org/10.1007/978-3-662-43616-5_15

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