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Directional Discriminant Analysis Based on Nearest Feature Line

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

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Abstract

In this paper, two novel image feature extraction algorithms based on directional filter banks and nearest feature line are proposed, which are named Single Directional Feature Line Discriminant Analysis (SD-NFDA) and Multiple Directional Feature Discriminant Line Analysis (MD-NFDA). SD-NFDA and MD-NFDA extract not only the statistic feature of samples, but also the directionality feature. SD-NFDA and MD-NFDA can get higher average recognition rate with less running time than other nearest feature line based feature extraction algorithms. Experimental results confirm the advantages of SD-NFDA and MD-NFDA.

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Author information

Authors and Affiliations

  1. Intelligent Control Research Center, Guangzhou Institute of Adavanced Technology, Chinese Academy of Sciences, IAT, GZ&CAS No.1121, Haibin Rd, Guangzhou, China

    Lijun Yan

  2. Department of Automatic Control and Test, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin, China

    Lijun Yan

  3. School of Computer Science, Engineering and Mathematics, Flinders University of South Australia, GPO Box 2100, Adelaide, South Australia, 5001

    Shu-Chuan Chu & John F. Roddick

  4. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, 518055, Xili, Nanshan, Shenzhen, China

    Jeng-Shyang Pan

Authors
  1. Lijun Yan
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  2. Shu-Chuan Chu
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  3. John F. Roddick
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  4. Jeng-Shyang Pan
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2012 Springer-Verlag Berlin Heidelberg

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Yan, L., Chu, SC., Roddick, J.F., Pan, JS. (2012). Directional Discriminant Analysis Based on Nearest Feature Line. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-28490-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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