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<p>Biometric technologies are increasingly being adopted due to their superior security capabilities. As a subset of pattern recognition systems, biometrics authenticate individuals by analysing unique physiological and behavioural traits. Among the various modalities, palm print recognition has emerged as a promising physiological biometric method because of its rich and stable feature set. Although traits like fingerprints, iris, facial features, voice, and gait are commonly used, fingerprint recognition has historically been the most prevalent. Nonetheless, palm print recognition offers the potential for greater accuracy in identity verification. This review paper provides a detailed analysis of palm print recognition methods, presenting the overall system architecture and highlighting the complex structural patterns that make palm prints uniquely identifiable. Advances in high-resolution imaging have enabled deeper investigation into the fine details—such as ridges, lines, and textures—that define each individual’s palm print.</p>

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Palm Print Recognition Systems: Structural Patterns and Emerging Trends

  • 期刊论文

  • 发表日期：

    2026年4月9日

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  • Mohd Shukri Ab Yajid,
  • Vivek Vullikanti,
  • Deeksha Verma,
  • Abhilasha Jadhav,
  • S. Srinadh Raju,
  • Ahmed Alkhayyat,
  • Devendra Singh

摘要

Biometric technologies are increasingly being adopted due to their superior security capabilities. As a subset of pattern recognition systems, biometrics authenticate individuals by analysing unique physiological and behavioural traits. Among the various modalities, palm print recognition has emerged as a promising physiological biometric method because of its rich and stable feature set. Although traits like fingerprints, iris, facial features, voice, and gait are commonly used, fingerprint recognition has historically been the most prevalent. Nonetheless, palm print recognition offers the potential for greater accuracy in identity verification. This review paper provides a detailed analysis of palm print recognition methods, presenting the overall system architecture and highlighting the complex structural patterns that make palm prints uniquely identifiable. Advances in high-resolution imaging have enabled deeper investigation into the fine details—such as ridges, lines, and textures—that define each individual’s palm print.