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Local Dual-Cross Ternary Pattern for Feature Representation

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Biometric Recognition (CCBR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9967))

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Abstract

Extracting effective features is a fundamental issue in image representation and recognition. In this paper, we present a new feature representation method for image recognition based on Local Ternary Pattern and Dual-Cross Pattern, named Local Dual-Cross Ternary Pattern (LDCTP). LDCTP is a feature representation inspired by the sole textural structure of human faces. It is efficient and only quadruples the cost of computing Local Binary Pattern. Experiments show that LDCTP outperforms other descriptors.

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Acknowledgments

This project is partly supported by NSF of China (61375001, 31200747), the Natural Science Foundation of Jiangsu Province (No. BK20140638, BK2012437, BK20140566, BK20150470), the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. School of Automation, Southeast University, Nanjing, 210096, China

    Peng Zhou, Yucong Peng & Wankou Yang

  2. Key Lab of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, 210096, China

    Peng Zhou, Yucong Peng & Wankou Yang

  3. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China

    Peng Zhou, Yucong Peng, Jifeng Shen & Wankou Yang

  4. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China

    Baochang Zhang

Authors
  1. Peng Zhou
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  2. Yucong Peng
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  3. Jifeng Shen
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  4. Baochang Zhang
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  5. Wankou Yang
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Corresponding author

Correspondence to Wankou Yang .

Editor information

Editors and Affiliations

  1. Sichuan University , Chengdu, China

    Zhisheng You

  2. Tsinghua University , Beijing, China

    Jie Zhou

  3. Beihang University , Beijing, China

    Yunhong Wang

  4. Chinese Academy of Sciences , Beijing, China

    Zhenan Sun

  5. Chinese Academy of Sciences , Beijing, China

    Shiguang Shan

  6. Sun Yat-sen University , Guangzhou, China

    Weishi Zheng

  7. Tsinghua University , Beijing, China

    Jianjiang Feng

  8. Sichuan University , Chengdu, China

    Qijun Zhao

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Zhou, P., Peng, Y., Shen, J., Zhang, B., Yang, W. (2016). Local Dual-Cross Ternary Pattern for Feature Representation. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_66

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  • DOI: https://doi.org/10.1007/978-3-319-46654-5_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46653-8

  • Online ISBN: 978-3-319-46654-5

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