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Emerging trends in biomedical trait-based human identification: A bibliometric analysis.

Nancy Girdhar1, Deepak Sharma2, Rajeev Kumar3

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This bibliometric study analyzes biomedical traits for personal human identification. It highlights key trends, emerging technologies, and global research collaborations in biometric identification methods.

Keywords:
BibliometricBiometric identificationDeep learningMachine learningPattern recognitionTraits analysis

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Area of Science:

  • Biometrics and Forensics
  • Computer Science
  • Genetics

Background:

  • Personal human identification is vital for security, law enforcement, and healthcare.
  • Biometric traits offer unique and reliable identification methods.
  • Advancements in technology have expanded the scope of biometric identification.

Purpose of the Study:

  • To conduct a bibliometric analysis of recent advances in personal human identification using biomedical traits.
  • To identify key trends, emerging technologies, and research collaborations in the field.
  • To map the global research landscape and knowledge flow in biometric identification.

Main Methods:

  • Systematic literature review of research articles, reviews, and patents from the last decade.
  • Categorization of literature based on biomedical traits (e.g., fingerprints, iris, face, DNA).
  • Bibliometric analysis of publication trends, geographical distribution, and collaboration networks.

Main Results:

  • Identification of major trends and emerging technologies across various biometric categories.
  • Mapping of leading countries and institutions in biometric research.
  • Visualization of collaboration networks, indicating knowledge dissemination patterns.

Conclusions:

  • The field of biomedical personal identification is rapidly evolving and highly interdisciplinary.
  • Understanding research trends and collaborations is crucial for future advancements.
  • This study provides a comprehensive overview for researchers, practitioners, and policymakers.