Beyond the Fingerprint: Exploring the Bibliometric Landscape of Emerging Synthetic Biometrics with a Focus on Synthetic Signatures

Abstract

Purpose: This paper aims to conduct a comprehensive bibliometric analysis focusing on synthetic biometrics, particularly synthetic signatures, as an emerging alternative to traditional biometric methods such as fingerprints and iris scans. The study explores the research landscape to identify trends, influential studies, and emerging technologies in this innovative field.
Methodology: The research employs bibliometric analysis techniques to systematically map the academic discourse surrounding synthetic biometrics, with a specific emphasis on synthetic signatures. Bibliometric methods include citation analysis, co-citation analysis, and cluster analysis to uncover patterns, connections, and trends within the research literature. These methods provide a retrospective insight into the progression of synthetic signature research and its scholarly impact.
Findings/Results:The findings reveal several key insights:
Emerging Trends: Synthetic signatures are increasingly recognized for their potential in enhancing security and identification systems beyond traditional biometrics.
Influential Studies: Specific studies and authors are identified as pivotal in shaping the discourse and development of synthetic signature technologies.
Technological Advancements: The analysis highlights advancements in synthetic biometrics, showcasing how these technologies are evolving to meet the challenges of robust and adaptable verification methods.
Challenges and Opportunities: The study identifies both potential and challenges associated with synthetic signatures, providing a nuanced understanding of their feasibility and application in real-world scenarios.
Originality/Value: This paper contributes to the existing literature by offering a structured analysis of the bibliometric landscape of synthetic biometrics, particularly synthetic signatures. By mapping out the academic discourse and identifying key trends and technologies, it provides valuable insights into the potential and challenges of this innovative field. The findings are expected to guide future research directions and policy considerations in the development and adoption of synthetic biometric technologies.
Paper Type: Review Paper.