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IFIP International Conference on Computer Science and its Applications

CIIA 2015: Computer Science and Its Applications pp 31–42Cite as

A Novel Technique For Human Face Recognition Using Fractal Code and Bi-dimensional Subspace

  • Conference paper

Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 456)

Abstract

Face recognition is considered as one of the best biometric methods used for human identification and verification; this is because of its unique features that differ from one person to another, and its importance in the security field. This paper proposes an algorithm for face recognition and classification using a system based on WPD, fractal codes and two-dimensional subspace for feature extraction, and Combined Learning Vector Quantization and PNN Classifier as Neural Network approach for classification. This paper presents a new approach for extracted features and face recognition .Fractal codes which are determined by a fractal encoding method are used as feature in this system. Fractal image compression is a relatively recent technique based on the representation of an image by a contractive transform for which the fixed point is close to the original image. Each fractal code consists of five parameters such as corresponding domain coordinates for each range block. Brightness offset and an affine transformation. The proposed approach is tested on ORL and FEI face databases. Experimental results on this database demonstrated the effectiveness of the proposed approach for face recognition with high accuracy compared with previous methods.

Keywords

  • Biometric
  • Face recognition
  • 2DPCA
  • 2DLDA
  • DWT
  • PNN
  • WPD
  • IFS
  • Fractal codes
  • LVQ

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Author information

Authors and Affiliations

  1. Computer Science Department, University Of Oran, Oran, Algeria

    Benouis Mohamed & Senouci Mohamed

  2. Computer Science Department, UniversitySidi Bel Abbes, Sidi Bel Abbes, Algeria

    Benkkadour Mohamed Kamel & Tlmesani Redwan

  3. INTTIC, Oran, Algeria

    Benkkadour Mohamed Kamel & Tlmesani Redwan

Authors
  1. Benouis Mohamed
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  2. Benkkadour Mohamed Kamel
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  3. Tlmesani Redwan
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  4. Senouci Mohamed
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Editor information

Editors and Affiliations

  1. Tahar Moulay University, Saida, Algeria

    Abdelmalek Amine

  2. LIAS/ISAE-ENSMA, Chasseneuil, France

    Ladjel Bellatreche

  3. Sidi Bel Abbès University, Sidi Bel Abbès, Algeria

    Zakaria Elberrichi

  4. University of Vienna, Vienna, Austria

    Erich J. Neuhold

  5. Poznan University of Technology Inst. Computing Science, Poznan, Poland

    Robert Wrembel

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© 2015 IFIP International Federation for Information Processing

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Mohamed, B., Kamel, B.M., Redwan, T., Mohamed, S. (2015). A Novel Technique For Human Face Recognition Using Fractal Code and Bi-dimensional Subspace. In: Amine, A., Bellatreche, L., Elberrichi, Z., Neuhold, E., Wrembel, R. (eds) Computer Science and Its Applications. CIIA 2015. IFIP Advances in Information and Communication Technology, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-319-19578-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-19578-0_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19577-3

  • Online ISBN: 978-3-319-19578-0

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