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Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification

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Mining Intelligence and Knowledge Exploration (MIKE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10682))

Abstract

This work focuses on the proposal of a method for Off-line signature verification based on selecting writer-dependent global Features. 150 Global features of different categories namely geometrical, texture based, statistical and grid features for offline signatures are computed. Writer dependent features are selected through an application of a filter based feature selection method. Further, to preserve the intra-writer variations effectively, the selected features are represented by interval-valued data through aggregation of samples of each writer. Here in this work, we recommend creating two interval valued feature vectors for each writer. Decision on the test signature is accomplished by means of a symbolic classifier. In the first stage, we conducted experiments with writer dependent features by keeping a common dimension for all writers. Further, we conducted experiments with varying writer dependent feature dimension and threshold as done by a human expert. To demonstrate the effectiveness of the proposed approach extensive experimentation has been conducted on both CEDAR and MCYT offline signature datasets. The Error-rate obtained with the proposed model is low in comparision with many of contemporary models.

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Author information

Authors and Affiliations

  1. Maharani’s Science College for Women, Mysuru, 570001, Karnataka, India

    K. S. Manjunatha

  2. Department of Studies in Computer Science, University of Mysore, Manasagangothri, Mysuru, 570006, Karnataka, India

    D. S. Guru & H. Annapurna

Authors
  1. K. S. Manjunatha
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  2. D. S. Guru
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  3. H. Annapurna
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Corresponding author

Correspondence to K. S. Manjunatha .

Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Kolkata, India

    Ashish Ghosh

  2. Institute for Development and Research in Banking Technology, Hyderabad, India

    Rajarshi Pal

  3. Indian Institute of Information Technology, Sri City, India

    Rajendra Prasath

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Manjunatha, K.S., Guru, D.S., Annapurna, H. (2017). Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification. In: Ghosh, A., Pal, R., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2017. Lecture Notes in Computer Science(), vol 10682. Springer, Cham. https://doi.org/10.1007/978-3-319-71928-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-71928-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71927-6

  • Online ISBN: 978-3-319-71928-3

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