Normal view MARC view ISBD view

Gender Differentiation From Fingerprint Ridge Count In Pakistani Population

By: Ahmed Fayyaz | Prof. Dr. Tahir Yaqub.
Contributor(s): Dr. Muhammad | Ms. Sehrish Firyal.
Material type: materialTypeLabelBookPublisher: 2013Subject(s): Department of Forensic ScienceDDC classification: 1668,T Dissertation note: In forensic science, fingerprinting has been used for decades as an efficient tool for identification of persons linked to an illegal activity or a crime scene. Different methods for the development and analysis of the latent fingerprints have been introduced including optical, physical and chemical methods. Each method has its own importance in the development and examination of the latent prints, which are invisible to naked eye before the application of fingerprint development methods. A lot of work has been published worldwide regarding fingerprinting. It was also reported that there is a significant difference in the ridge density of males and females. Ridge count might be helpful in the gender differentiation in Pakistani population. Patent prints of 100 males and 100 females were taken on A4 size paper or card paper using pelikan black inkpad and analysis was done with the help of 10x magnification lens. The ridges were counted diagonally within a square of 5mm x 5mm. This value depicts the number of ridges per 25 mm2. Results were analyzed by using Multivariate analysis of variance (MANOVA). The results of this study are used as a helpful tool for forensic expert and law enforcement. It reveals that females have finer epidermal ridge detail than males. The degree of ridge density is used as presumptive indicator of gender of unknown print left at a crime scene. First we qualitatively examine if prints appear coarse or fine and then by quickly quantifying ridge density or ridge count in a manner similar to method described in this study. The outcomes of this study will be helpful in exoneration of innocents in different crimes.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
Thesis Thesis UVAS Library
Thesis Section
Veterinary Science 1668,T (Browse shelf) Available 1668,T
Total holds: 0

In forensic science, fingerprinting has been used for decades as an efficient tool for identification of persons linked to an illegal activity or a crime scene. Different methods for the development and analysis of the latent fingerprints have been introduced including optical, physical and chemical methods. Each method has its own importance in the development and examination of the latent prints, which are invisible to naked eye before the application of fingerprint development methods. A lot of work has been published worldwide regarding fingerprinting. It was also reported that there is a significant difference in the ridge density of males and females. Ridge count might be helpful in the gender differentiation in Pakistani population. Patent prints of 100 males and 100 females were taken on A4 size paper or card paper using pelikan black inkpad and analysis was done with the help of 10x magnification lens. The ridges were counted diagonally within a square of 5mm x 5mm. This value depicts the number of ridges per 25 mm2. Results were analyzed by using Multivariate analysis of variance (MANOVA). The results of this study are used as a helpful tool for forensic expert and law enforcement. It reveals that females have finer epidermal ridge detail than males. The degree of ridge density is used as presumptive indicator of gender of unknown print left at a crime scene. First we qualitatively examine if prints appear coarse or fine and then by quickly quantifying ridge density or ridge count in a manner similar to method described in this study. The outcomes of this study will be helpful in exoneration of innocents in different crimes.

There are no comments for this item.

Log in to your account to post a comment.


Implemented and Maintained by UVAS Library.
For any Suggestions/Query Contact to library or Email:[email protected] Phone:+91 99239068
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.