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ROI Extraction of Palmprint Images Using Modified Harris Corner Point Detection Algorithm

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Intelligent Computing Theories and Applications (ICIC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7390))

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Abstract

A new extraction method of palmprint images’ region of interesting (ROI) by using a modified Harris corner detection algorithm is discussed in this paper. This method can independently select the corner detection region by using mouse and doesn’t need to detect the whole palmprint image. So, the calculation complexity is reduced hardly. At the same time, this method can ensure the uniqueness of detected corners and improve the location accuracy of palmprints. In test, the database of CASIA is used. Compared with the traditional Harris corner detection algorithm, experimental results show that our method can more efficiently and quickly locate palmprint images’ ROI, and can efficiently enhance the edge and detail of palmprint images simultaneity.

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References

  1. Zhang, D.: Palmprint Authentication. Kluwer Academic Publishers, Boston (2004)

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Author information

Authors and Affiliations

  1. Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, 215104, Jiangsu, China

    Li Shang, Jie Chen, Pin-Gang Su & Yan Zhou

  2. Department of Automation, University of Science and Technology of China, Anhui, 230026, Hefei, China

    Li Shang

  3. School of Electronics and Information Engineering, Soochow University, Suzhou, Jiangsu, 215006, China

    Yan Zhou

Authors
  1. Li Shang
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  2. Jie Chen
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  3. Pin-Gang Su
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  4. Yan Zhou
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Machine Learning and Systems Biology Laboratory, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-Cho, Koganei-Shi, Japan

    Jianhua Ma

  3. School of Electrical Engineering, University of Ulsan, #7-413, San 29, Muger Dong, 680-749, Ulsan, South Korea

    Kang-Hyun Jo

  4. Department of Biotechnology, Indian Institute of Technology (IIT) Madras, 600 036, Chennai, Tamilnadu, India

    M. Michael Gromiha

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© 2012 Springer-Verlag Berlin Heidelberg

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Shang, L., Chen, J., Su, PG., Zhou, Y. (2012). ROI Extraction of Palmprint Images Using Modified Harris Corner Point Detection Algorithm. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_61

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  • DOI: https://doi.org/10.1007/978-3-642-31576-3_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31575-6

  • Online ISBN: 978-3-642-31576-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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