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"Dactylographic Analysis Among Interracial Populations: A Comparative
Analysis of African and Indian Demographics"
Amadou Jallow
1
, Divyant Ganesh Kataria Jain
2
, Dr. Vaishali Abrol
*
, Dr. G. Rajesh Babu
4
1
Student, School of Forensic Science, National Forensic Science University, Gandhinagar, Gujarat.
2
Research Scholar, School of Doctoral Studies, National Forensic Science University, Gandhinagar,
Gujarat.
3
Assistant Professor, School of Forensic Science, National Forensic Science University, Gandhinagar,
Gujarat.
4
Professor, School of Medico-Legal Studies, National Forensic Science University, Gandhinagar,
Gujarat.
*
Corresponding Author
DOI: https://doi.org/10.51583/IJLTEMAS.2026.15020000089
Received: 26 February 2026; Accepted: 03 March 2026; Published: 19 March 2026
ABSTRACT
Fingerprint analysis, a cornerstone of forensic science, relies on the unique patterns of ridges and valleys on the
fingertips, known as dermatoglyphics or dactylography patterns. Understanding the variability of these patterns
among different population groups is crucial for accurate forensic identification. This study delves into the
comparative analysis of dermatoglyphic patterns among interracial population groups, specifically focusing on
individuals of African and Indian descent. A diverse sample of 100 typical adolescents, under 45, was randomly
selected from various schools within the National Forensic Sciences University in Gujarat, India. This sample
comprised 25 males and 25 females from African countries currently residing in India, alongside Indian students.
Participants willingly consented to the research, which involved a thorough cleansing process to eliminate
external contaminants from their hands. Inkless pads were used to collect fingerprint impressions, and advanced
digital proscope technology facilitated the analysis of the ridge characteristic- ridge thickness. The results of the
study revealed significant variations in dermatoglyphic patterns between African and Indian population groups.
African females exhibited greater ridge thickness relative to Indian females, with a similar trend observed among
African and Indian males. These findings underscore the importance of considering demographic factors in
forensic fingerprint analysis, as subtle differences in ridge characteristics can significantly impact identification
accuracy. This study contributes valuable insights into forensic science by elucidating the relationship between
dermatoglyphic patterns and population demographics. By recognizing and understanding these variations,
forensic investigators can improve the accuracy and reliability of fingerprint identification methodologies,
particularly when dealing with diverse population groups. Furthermore, the comparative analysis between
African and Indian demographics sheds light on the nuanced differences in dermatoglyphic patterns, highlighting
the need for inclusive and culturally sensitive approaches in forensic investigations.
Keywords: Fingerprints, Ridge Thickness, Forensic Science, Proscope, Dermatoglyphics
INTRODUCTION
Fingerprint analysis is a fundamental pillar of forensic science, leveraging the unique dermatoglyphic patterns
present on the fingertips to distinguish individuals. (Saferstein, 2013) (Wijerathne et al., 2015) These patterns,
which encompass ridge configurations and valley formations, are not only distinctive to each person but also
exhibit variations across different demographic groups. Understanding these nuances, particularly in terms of
ridge thickness and density, is crucial for accurate forensic identification and forms the crux of this study. (Singh
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& Kadu, 2020) (Gibbs, 1967) Dermatoglyphics, the study of skin ridge patterns, lies at the heart of fingerprint
analysis in forensic science. (Baryah & Krishan, 2020) (Basu, 1976) (Mbaka et al., 2016) (Paul et al., 2019)
Formed during foetal development and remaining unchanged throughout life, these patterns serve as intrinsic
identifiers for individuals. The intricate arrangement of ridges and valleys on the fingertip surface is integral to
the anatomy of the skin as shown in the figure_1, providing a reliable basis for identification due to its persistence
and uniqueness.
Figure 1: Anatomy of skin
Ridge thickness emerges as a pivotal parameter in dermatoglyphic analysis, offering valuable insights into
individual variations within a population. (Ashbaugh, 1999) Ridge thickness refers to the width of the ridges
present on the fingertip surface as shown in figure_2. (Langenburg, 2019) Ridge thickness can be as low as 100
µm for thin ridges and as high as 300µm for thick ridges.
This seems to be due to several factors, including genetic makeup, age, sex, and ethnic background. (Mbaka et
al., 2016) (Mehdipour & Farhud, 1978) (Sangam et al., 2011) ridge thickness is one of the critical properties that
are considered when one is trying to different persons in forensic examinations. For instance, it has been found
out that females normally have thinner ridges as compared to males, this means that the ridge density is higher
among the females. In the same way, ethnic differences have also been identified with regard to ridge thickness
with the intention of using the information in the process of demographic analysis in forensic science. Digital
proscope technology and high-magnification digital imaging are used for precise quantification of ridge
thickness. Thus, tagging is not limited to the definition of the concept of ridge thickness alone. It also has an
impact on the definitions and quality of fingerprint impressions, which is essential in comparing prints obtained
from the scene of crime with those in databases of fingerprints. The variations in ridge characteristics can greatly
impact the performance of the fingerprint-matching algorithms; therefore, it is imperative for forensics to
consider such differences while making an analysis. These characteristics exhibit variability among individuals
Figure 2: Ridge analysis
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and demographic groups, reflecting both genetic predispositions and environmental influences. (Baryah &
Krishan, 2020)
Ridge density, as the number of ridges per unit area on a fingerprint, is one of the most important factors that are
used for identity recognition of persons in forensic science. (Chauhan, 2017) It varies with people and instances
and depends on some features such as the sex of a person, age, and ethnicity. (Ramanjit & Garg, 2011)
(Rivaldería et al., 2016) (Sucharitha et al., 2021) (Xie & Lin, 2020) In general, females were found to possess a
higher ridge density compared to males, probably due to more precise ridge patterns. This characteristic is
especially helpful and feasible in forensic gender assessment and demographic analysis. The significance of this
study lies in its exploration of dermatoglyphic patterns and their implications for forensic investigations,
particularly concerning interracial population groups. By examining the variations in ridge thickness among
individuals of African and Indian descent, this research aims to elucidate the diversity of dermatoglyphic patterns
and their impact on the accuracy of fingerprint identification. To facilitate precise analysis, advanced
technological tools such as the Proscope are employed. The Proscope is a digital imaging device equipped with
high-resolution capabilities, enabling detailed examination of dermatoglyphic features. With its ability to capture
and magnify minute details of fingerprint impressions, the Proscope enhances the accuracy and reliability of
forensic analyses, ensuring meticulous scrutiny of ridge characteristics.
Figure 3: Dermatoglyphic analysis for Age, Gender and Ethnicity
This study endeavours to deepen our understanding of dermatoglyphic patterns and their significance in forensic
investigations. By investigating variations in ridge thickness among interethnic population groups and leveraging
advanced technologies like the Proscope, this research aims to contribute to the advancement of forensic science
and enhance the accuracy of fingerprint identification methodologies. With a comprehensive examination of
these dermatoglyphic parameters, this study seeks to address several key objectives:
1. Characterizing the variability of ridge thickness among individuals of African and Indian descent.
2. Investigating the impact of demographic factors on dermatoglyphic patterns and their implications
for forensic identification.
3. Assessing the efficacy of advanced imaging technologies, such as the Proscope, in enhancing the
accuracy and reliability of fingerprint analysis.
4. Exploring the broader implications of these findings for forensic science and the criminal justice
system.
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By addressing these objectives, this study aims to provide valuable insights into the complex interplay between
dermatoglyphic patterns and forensic identification, ultimately contributing to the advancement of forensic
science and the pursuit of justice. One of the key challenges in forensic science is the accurate identification of
individuals from complex crime scenes. Fingerprint analysis plays a vital role in this process, providing a reliable
and non-invasive means of identification that can be used to link individuals to a crime. However, the accuracy
of this technique depends on a deep understanding of the nuances of dermatoglyphic patterns and the ability to
distinguish between individuals with similar ridge characteristics. This study focuses on the analysis of ridge
thickness, one of the key parameters that can provide valuable insights into the variability of dermatoglyphic
patterns across different demographic groups. The study examines individuals of African and Indian descent,
two groups that exhibit significant genetic and environmental differences that can impact the formation of
dermatoglyphic patterns. The results of the study reveal significant variations in ridge thickness among
individuals of African and Indian descent. These variations are attributed to genetic factors, such as differences
in skin pigmentation and the structure of the epidermis, as well as environmental factors, such as exposure to
chemicals and other external agents. The study also highlights the impact of demographic factors on
dermatoglyphic patterns and their implications for forensic identification. In particular, the study shows that the
accuracy of fingerprint identification can be affected by the demographic composition of a population, with
certain groups exhibiting higher levels of variability in dermatoglyphic patterns. To address these challenges,
the study proposes the use of advanced imaging technologies, such as the Proscope, to enhance the accuracy and
reliability of forensic analyses. The Proscope is a powerful tool that can capture and magnify minute details of
fingerprint impressions, enabling a more detailed examination of dermatoglyphic features. Overall, the study
provides valuable insights into the complex interplay between dermatoglyphic patterns and forensic
identification. By characterizing the variability of ridge thickness and density among individuals of African and
Indian descent, the study contributes to our understanding of the factors that influence the formation of these
patterns and their implications for forensic identification. The study also highlights the importance of advanced
imaging technologies in enhancing the accuracy and reliability of fingerprint analysis, ultimately contributing to
the advancement of forensic science and the pursuit of justice.
METHODOLOGY
A study was conducted to analyze the fingerprints of 100 adolescent individuals who were under 45 years of
age, comprising 25 males and 25 females from various African countries currently living in India, along with
Indian students from the National Forensic Sciences University. The individuals were chosen at random from
various schools within NFSU College, Gujarat (Gandhinagar). These individuals willingly participated in the
research after giving their consent. The study was conducted in a controlled environment where the subjects
were made to cleanse their hands by washing them with water and removing existing dust particles. After the
hands were washed and dried, inkless pads were used to collect inked fingerprint impressions. The inkless pad
technology provided a clean and efficient way to collect fingerprints, without the need for traditional ink and
paper. The collected fingerprints were then analyzed using a digital proscope which allowed for a detailed ridge
analysis. The ridge analysis included measuring the ridge thickness of the fingerprints. This information was
then used to create a database of fingerprints, which could be used for future forensic investigations. The study
was conducted with the utmost care for the safety and privacy of the subjects. All subjects were treated with
respect and dignity, and their personal information was kept confidential. This study provides valuable insights
into the analysis of fingerprints using modern technology and could help improve the accuracy and efficiency of
future forensic investigations.
RESULTS
According to a recent study, there are significant differences in the thickness of fingerprint ridges across different
population groups. Descriptive statistics, a T-test, and a two-way Multivariate Analysis of Variance (ANOVA)
were performed to examine the effects of population and gender on fingerprint morphometric variables, such as
ridge density and ridge thickness. It was found that population has a significant multivariate effect on fingerprint
parameters, mainly due to a substantial difference in ridge thickness between populations, with African
individuals showing greater ridge thickness than Indian individuals. This suggests that population-based
biological variation influences certain ridge morphometric characteristics, particularly ridge thickness. African
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females have a higher ridge thickness of 0.095mm compared to Indian females, who have a lower thickness of
0.076mm. Similarly, African males also have a higher ridge thickness of 0.080mm compared to Indian males,
who have a lower thickness of 0.058mm. Gender shows a significant multivariate effect, primarily due to
differences in ridge density between males and females. Females have higher ridge density than males. The ridge
density of African males was found to be 9.3/mm2, which was less than the ridge density of Indian males, which
came up to 9.5/mm
2
. The study found that African females have a lower ridge density of 9.8/mm
2
compared to
Indian females, who have a higher density of 10.3/mm
2
. These findings highlight the significant impact that
these variations can have on fingerprint identification accuracy and reliability, especially when dealing with low-
quality or partial prints. It is important to take these differences into account while developing fingerprint
identification systems and techniques to ensure that they are effective across all population groups.
Table 1 shows the mean differences in Ridge Thickness and Ridge Density between Indian and African
Population
Population
Gender
Ridge Thickness (mm)
Ridge Density (per mm²)
African
Female
0.095
9.8
Indian
Female
0.076
10.3
African
Male
0.097
9.0
Indian
Male
0.083
9.2
Graph 1 shows the differences in Ridge Thickness
Graph 2 shows the differences in Ridge Density
8.2
8.4
8.6
8.8
9
9.2
9.4
9.6
9.8
10
10.2
10.4
Female Female Male Male
African Indian African Indian
Ridge Density (per mm²)
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CONCLUSION
The importance of fingerprint identification in forensic investigations cannot be overstated. This research has
concluded that a comprehensive understanding of fingerprint ridge thickness is critical for accurate fingerprint
identification. The study provides valuable insights into the relationship between fingerprint ridge thickness and
its impact on forensic investigations. It was found that the thickness of fingerprint ridges can vary greatly among
individuals, and even on different parts of the same finger. This variation can pose challenges for forensic
investigators, who must accurately match fingerprints to potential suspects. Overall, the study provides a better
understanding of the factors that contribute to accurate fingerprint identification and provides a foundation for
further research in the field of forensic science. With this knowledge, forensic investigators can improve the
accuracy and reliability of their work, which can ultimately lead to more effective criminal investigations and a
safer society for all.
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