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Off-line Signature Verification Based on Combination of Modified Direction and Microstructure Features

  • Conference paper
Signal Processing, Image Processing and Pattern Recognition (SIP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 260))

Abstract

Off-line signature verification is an important form of behavioral biometric identification. We present a method utilizing Modified Direction Feature(MDF) and Microstructure Feature(MSF) to tackle the problem. MDF and MSF belong to geometric structure features, but these two features are different from each other in each emphasis. In our study, global information in signatures’ boundaries is represented by MDF, while local information is represented by MSF. In order to get features with lower dimensions, principal component analysis is employed to reduce redundant dimensions. In addition, we adopt support vector machine as classifier for verification process. The proposed strategy is evaluated on the GPDS and MCYT corpora. Experimental results have demonstrated that the proposed method is effective to improve off-line signature verification accuracy.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, East China Normal University, Shanghai, 200241, China

    Danfeng Yang & Yue Lu

  2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100088, China

    Yuzhu Qin

  3. The Third Research Institute of the Ministry of Public Security, Shanghai, 200031, China

    Zhimin Huang

Authors
  1. Danfeng Yang
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  2. Yuzhu Qin
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  3. Zhimin Huang
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  4. Yue Lu
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. University of Porto, 4099-002, Porto, Portugal

    Carlos Ramos

  4. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Yang, D., Qin, Y., Huang, Z., Lu, Y. (2011). Off-line Signature Verification Based on Combination of Modified Direction and Microstructure Features. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_29

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  • DOI: https://doi.org/10.1007/978-3-642-27183-0_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27182-3

  • Online ISBN: 978-3-642-27183-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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