FINGERPRINT-BASED IQ ANALYSIS: A LITERATURE SURVEY

Authors

  • Prof. Roshni A. Gawande
  • Prof. Sapana S. Kukade
  • Prof. Sneha Dhere

DOI:

https://doi.org/10.53555/ephijse.v11i1.276

Keywords:

Fingerprint Biometrics, IQ Analysis, Dermatoglyphics, Cognitive Ability, Machine Learning, Biometrics-Based Intelligence Assessment

Abstract

Fingerprint biometrics have been widely used in security and forensic applications. Recently, researchers have explored the possibility of using fingerprint patterns to assess cognitive abilities, including Intelligence Quotient (IQ). This paper presents a literature survey on fingerprint-based IQ analysis, highlighting key methodologies, findings, and challenges in this emerging field.

Author Biographies

Prof. Roshni A. Gawande

Department of Electronics and Telecommunication, PVPIT, Bavdhan Pune, Maharashtra

Prof. Sapana S. Kukade

Department of Electronics and Telecommunication, PVPIT, Bavdhan, Pune, Maharashtra, India

Prof. Sneha Dhere

Department of Electronics and Telecommunication, Dr. DY. Patil Institute of Technology, Pimpri, Pune

References

A. K. Jain, P. Flynn, and A. A. Ross, "Handbook of Biometrics," Springer, 2007. [2] J. Cummins and C. Midlo, "Finger Prints, Palms and Soles: An Introduction to Dermatoglyphics," Dover Publications, 1961.

R. S. Bali, "Dermatoglyphics: A Study in Fingerprint Patterns and Intelligence," Journal of Psychology, vol. 45, no. 2, pp. 120-135, 2015.

M. K. Singh et al., "Machine Learning-Based Fingerprint Analysis for Cognitive Assessment," IEEE Transactions on Biometrics, vol. 28, no. 1, pp. 85-97, 2021.

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Published

2025-03-07