Special Issue on Multimodal Biometric Data Analysis

Submission Deadline: Jan. 10, 2020

This special issue currently is open for paper submission and guest editor application.

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Special Issue Flyer (PDF)

  • Special Issue Editor
    • Dr. Shivanand Gornale
      Department of Computer Science, School of Mathematics and Computing Sciences, Rani Channamma University, Belagavi, Karnataka, India
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Ramesh Manza
      Department of Computer Science,Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
    • Shivashankar S
      Department of Computer Science,Karnataka Univeristy, Dharwad, India
    • Aziz Makandar
      Department of Computer Science,Karnataka State Women’s University, Bijapur, India
    • Mallikarjun Hangarge
      Department of Computer Science,Karnataka Arts Science and Commerce College, Bidar, India
    • Vikas Humbe
      Department of Computer Science,Swami Ramanand Teerth Maratwada University, Nanded, India
    • Majharoddin Kazi
      Department of Computer Science and Applications,MGM's Dr. G.Y. Pathrikar College of Computer Science and Information Technology, Auranagabad, India
    • Department of Computer Science and It., Dr. G. Y. Pathrikar College of CS&IT, Dr. BAMU. Aurangabad, Aurangabad, India
  • Introduction

    Establishing the identity and femininity of a person is becoming critical in our vastly interconnected society. Is it really you who you are claiming to be? Or is it really that you are not the person who you are claiming not to be? The need for reliable user authentication and gender identification techniques have increased in the wake of heightened concerns about security and rapid advancement in Networking and human computer interactions.
    Most biometric systems deployed in real world applications are Uni-modal, i.e., single finger print, or a face or an iris, etc. These systems have to contend with a variety of limitations and problems that you can face when applying Uni-modal Biometric system. The problems such as noisy data, intra-class variations, restricted degree of freedom, non-universality, spoof attacks, and unacceptable error rates, can be addressed by deploying a multimodal biometric system.
    There are various scenarios that are possible in multimodal biometric data analysis, and level of fusion that are probable and the integration strategies that can be adopted to consolidate information.
    This special issue aims to contribute to the explanation of how Multimodal Biometric Data Analysis can help Data Science and Analysis for reliable user authentication and gender identification.

    Aims and Scope:

    1. Fusion and Privacy in Biometrics
    2. Multimodal Biometrics Data Analysis
    3. Data Analysis for Forensic Applications
    4. Biometric Models improvement
    5. Machine Vision Approach for Biometric Data Analysis
    6. Soft Biometric Analysis

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ijdsa.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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