M.Sc. criminology and forensic science Dr. MGR Educational and research institute
Fingerprint ridge density is an essential biometric feature that plays a significant role in forensic identification and authentication. Each individual possesses unique fingerprints. The study of fingerprints is referred to as dactyloscopy. This research aims to explore the variations in the number of male fingerprint ridge across different professions, analyzing potential differences among various fingers and hands. The study includes four specific professions: construction workers, software engineers, drivers, and teachers, with 50 samples collected from each profession, total 200 samples. The number of ridges is defined as the ridge density. located between the delta and the core of the fingerprint. It is determined by calculating the average ridge count from both hands of an individual. A 5mm x 5mm square was marked on a transparent film and placed over the selected area of the fingerprint samples. By using this measurement, we can find the ridge density in specified area. Values were obtained for all ten fingers, and the mean was subsequently calculated. The data analysis reviews that teachers have the highest ridge density with 12 mean value and the construction workers have the lowest ridge density with 9 mean values. This study shows, the fingerprint ridge density is difference between the outdoor workers and intellectual professions.
A specific biometric characteristic that makes it easier to find people is their fingerprints. For many years, dermatology the inquiry into fingerprints has been a key component of forensic research. Ridge density, which indicates the number of ridges in one specific area of an individual’s fingerprint, is a notable feature of fingerprints. Fingerprint ridge density differs by gender, age group, and racial or according to research. However, literature examining the differences in ridge density amongst guys in various professions is significantly lacking. This knowledge gap is essential because it has a major impact on biometric and forensic investigation. During the growth and development of the fetus, genetic and environmental factors interact to create fingerprints. The complex relationship between these variables causes special patterns and traits of fingerprints, including ridge density. Since the ridge density is a critical side of the fingerprinting. According to research, ridge density Persons should vary in density, individuals and special groups showing high or low densities. The fingerprint of a person is crucial to prove their identification and prove their specialty. These parts are also crucial to the performance of the common crime performance. Analyzing the fingerprint ridge density (FRD) in connection with gender is often measured by the arrival of the unit distance. This analysis is likely to examine the difference in the occupation. This study, fingerprint ridge density, examines the difference between men based on their employment and how different workforces may affect this biological character. As an example, clear workers will end up with ridge patterns, while the office-based or physically demanding roles can help maintain the ridge density. A person's fingerprint ridge density, which is influenced by genetic factors, is the number of ridges in the unit area that remain through their life. This research aims to examine if there is a significant difference in the fingerprint ridge density among men working in various occupations. This is trying to determine whether employment actions and work conditions will affect dermatoglyphic traits, especially the fingerprint ridge density. Locally and globally, the ridge in the male fingerprinting is crucial to compare the Denzerization of the Denzerus according to their employment. This increases the forensic identification by supporting criminal profiling, elimination, and cool investigations. This helps to create more accurate forensic databases and enhance the validity of the fingerprint evidence in the court. It helps the job testing by identifying identity fraud and employment claims. By increasing cooperate with law enforcement organizations, like Interpol, in the investigation of transnational crimes, it makes cross-border investigations easier on a global basis. Research has broader implications for improving forensic science, law enforcement, and crime-fighting efforts around the world. It also improved the organization of forensic techniques that ensure the similarity in the organicitative analysis procedures across countries, but also by preventing biometric confirmation systems.
METHODS
A total of 200 samples were collected from four different professions: teachers, software employees, drivers, and construction workers. Each profession contributed 50 samples. After their fingerprints were taken, participants were told to wash their hands accurately. In order to obtain all 10 rolled fingerprints, individuals were instructed to keep up constant pressure with their fingertips on a black inkless pad before transferring the prints onto paper. The fingerprints are collected with the content of the individuals. The materials employed in this study included a black ink pad, fingerprint slips, a roller, a magnifying glass, a pencil, a measuring scale, and consent forms. A square measuring 5mm by 5mm was drawn on a transparent film and placed over the selected area of the fingerprint samples. The square were drawn and ridges was counted from core to the other end diagonally the while dots were excluded from the count. This count represented the number of ridges within a 25mm² area, reflecting the ridge density. Values were obtained for all ten fingers, and the mean was calculated, providing a single data point for each individual. The overall average was determined using SPSS software. Notably, there is a significant variation in fingerprint ridge density among males based on their occupation.
RESULT
Table 1: Mean distribution of fingerprint ridge count among different professionals
|
Profession |
Mean |
|
Teachers |
12 |
|
Software engineers |
11 |
|
Drivers |
10 |
|
Construction workers |
9 |
The table presents the mean distribution of fingerprint ridge counts among professionals in four different occupations: teachers, software engineers, drivers, and construction workers. According to the data, teachers have the highest mean ridge count of 12, which indicates that the ridge density was less followed by software engineers with a mean of 11, in this the ridge density was lesser when compared to the teaching profession. Drivers have a mean ridge count of 10, the ridge density was lesser than software engineers while construction workers have the lowest with a mean of 9 so they have lowest ridge density.
DISCUSSION
In this finding ridge density differ due to their profession. Dermatoglyphic features connected with the job-related factor. Manual work, mortar works and environmental condition mostly affects the fingerprint ridge density. Genetics influence the fingerprint. By this study we can identify the profession of a person by using ridge density. In this study fingerprint is unique in personal identification. In future this study will help more to find an individual by their profession. The study's limitations, such as the sample size or possible genetic similarities within particular professions, must be understood, nonetheless due to these would affect the findings' generalizability. It will be essential to conduct various studies with larger, more varied populations and controlled variables to be able to confirm these findings and better understand the underlying mechanisms at play. This study helps forensic investigators to find potential perpetrators by examining patterns of ridge density unique to particular occupations. It could assist biometric and anthropological research that looks at the connection among biological traits and occupational duties. By examining the connections between physical labor and biological changes, it could be useful for occupational health research studies [1]. The research conducted by Aniza Batoola, Fahad, Izzatc Identification and comparison of fingerprint damages among different occupations in Punjab, Pakistan for forensic casework. In this study they explained that fingerprint cannot be alter or be damaged by burning, abrasion or cut marks. They can be regrow. Using a magnifying glass, any damage to the fingerprint's additional data related to occupation will be evaluated. We'll use statistical methods for further analysis. The findings: 102 patent samples of fingerprints, comprising rolled, simultaneous, fingers, palm prints, creases thenar, hypothenar, and inters digital, were taken from the hands of 22 different jobs in Pakistani men and women. In addition, various amounts of damaged ridges were found, along with visible and clear ridges that were counted in order to compare them to damaged ridges. Conclusion: Using years of experience working with different workers in Pakistan, an analysis of advance recognition markings by dermatitis changes in fingerprints was carried out [2] A Comparative Case Study of Fingerprint Patterns in Male Convicts of Sabarmati Jail (Ahmedabad) in Gujarati Population was done by Astha Pandey1, J M Vyas. As fingerprints serve as a unique and extensively use way of identifying criminals during forensic investigations, in both civil and criminal cases, there are many uses for them in human identification. Further investigation is required for local and ethnic variations. in Gujarat, which could be helpful in building a fingerprint biometric database that includes criminal records of offenders. This would be of great benefit to the criminal justice system and law enforcement organisations. In order to evaluate the patterns and frequency of the criminals' fingertips and compare them to the general Gujarati population, a study was performed out on those insides of Sabarmati jail [3]. Esperanza Gutiérrez-Redomero conducted a study on A comparative study of topological and sex differences in fingerprint ridge density in Argentinian and Spanish population samples. Considering the fact although plenty of recent studies have evaluated the diversity of fingerprint ridge density and sex differences in populations of humans from various origins, no such study has yet been conducted in the Amerindian community. The aim of this investigation was to recognise the topological and sexual differences in fingerprint ridge density (RD) in local people from two separate populations originating at distinct elevation in the Jujuy province of northwest Argentina. The outcomes had been compared with those derived from a sample of the Spanish population [4]. Sex differences from fingerprint ridge density in Chinese and Malaysian population was conducted by Vinod C. Nayaka, Prateek Rastogi. The fingerprints are very typical for a human being. The present study was undertaken to study the gender differences in fingerprint ridge density in Chinese and Malaysian population. The study done on 200 subjects (100 males and 100 females) of Chinese origin and 100 subjects (50 males and 50 females) of Malaysian origin revealed that significant gender differences occur in the finger ridge density [5].
CONCLUSION
This study shows, the fingerprint ridge density is difference between the outdoor workers and intellectual professions. It helps the other researchers to know how the job-related factors affect the biometric traits in forensics, anthropology and occupational health. There is a connection between particular job responsibilities and physiological traits. Future studies shows how the physical activity and exposure at work.
REFERENCE
Sheinu S. Flexy*, Keerthi, A Comparative Study on the Difference of Fingerprint Ridge Density Among Males on their Profession, Int. J. Sci. R. Tech., 2025, 2 (6), 160-163. https://doi.org/10.5281/zenodo.15582103
10.5281/zenodo.15582103
