27Oct 2023

EVALUATION OFDIFFERENTPOTENTIAL BIOMETRIC IDENTIFICATION FORENSIC TOOLS LIKE TONGUE PRINTS, RUGAE PATTERNS AND FINGER PRINTS:A COMPARATIVE STUDY

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Introduction-Biometric technologies are defined as the automated methods of identifying or verifying of a living person based on a physiological or behavioral characteristic. With the help biometric in forensic we identify different biometric identification features like tongue prints, rugae patterns and finger prints.

Objective-Objective of this study to assess and evaluate the efficacy of different biometric identification features like tongue prints, rugae patterns and finger prints.

Materials and Methods- This study included 50 subjects, in which 25 were males (Group A) and other 25 were females (Group B). The study was conducted in the department of oral and maxillofacial pathology at DJ college of dental sciences and research, Modi Nagar Uttar Pradesh.

Statistical Analysis- Chi Square test was used, and P value of <0.05 was considered statistically significant.

Result- On comparing all three parameters, there is statistical significant difference in total no. of rugae patterns and size seen in both male and females. No statistical significant seen in texture ,shape,grooves and lingual apex of tongue. No significant difference seen in finger print pattern on both male and female.

Conclusion- Most accurate biometric method for personal identification is palatal rugae as it is protected well from external environment. Also, for sexual dimorphism palatal rugae is best for gender identification compared with others parameters.


[Devanand Prasad Jaiswal, Sanjeet Singh, Nishant Singh, Paramjit Singh and Kanika Sharma (2023); EVALUATION OFDIFFERENTPOTENTIAL BIOMETRIC IDENTIFICATION FORENSIC TOOLS LIKE TONGUE PRINTS, RUGAE PATTERNS AND FINGER PRINTS:A COMPARATIVE STUDY Int. J. of Adv. Res. 11 (Oct). 950-958] (ISSN 2320-5407). www.journalijar.com


Dr. Devanand Prasad Jaiswal
MDS Oral Pathology
India

DOI:


Article DOI: 10.21474/IJAR01/17786      
DOI URL: https://dx.doi.org/10.21474/IJAR01/17786