Threshold-based Sex Classification

Threshold-Based Sex Classification is a methodological construct in forensic biometrics that categorizes individuals into sex classes based on predefined numerical thresholds applied to specific lip print patterns, distinguishing it from probabilistic or machine learning approaches by its reliance on fixed discriminatory criteria.

18

Publications

687

Citations

66

Authors

28

Institutions

Publications per year

2017–2026

8

Authors

66

  1. RE
    Rasool Esmaeilyfard

    Shiraz University of Technology, Iran

    1 publications · 30 citations

    1

    h-index

  2. CE
    Cris E Hughes

    University of Illinois Urbana-Champaign, United States

    1 publications · 20 citations

    1

    h-index

  3. RW
    Ravi Wadhwa

    Indian Institute of Science Education and Research Mohali, India

    1 publications · 21 citations

    1

    h-index

  4. RR
    Roope Raisamo

    Tampere University, Finland

    1 publications · 192 citations

    1

    h-index

  5. KR
    Kim Rutherford

    University of Cambridge, United Kingdom

    1 publications · 22 citations

    1

    h-index

1–5 of 66

Venues

  1. Forensic Science International

    2 publications · 60 citations

    2

    h-index

  2. Forensic Chemistry

    1 publications · 21 citations

    1

    h-index

  3. Molecular Ecology Resources

    1 publications · 22 citations

    1

    h-index

  4. Microchemical Journal

    1 publications · 52 citations

    1

    h-index

  5. IOSR Journal of Engineering

    1 publications · 21 citations

    1

    h-index

1–5