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Review Papers | Forensic Science | India | Volume 12 Issue 11, November 2023
Review on Automatic Detection of Altered Fingerprints
Abstract: Due to the extensive usage of Automatic Fingerprint recognition Systems (AFIS) in border control and law enforcement, some people with criminal histories have purposefully altered their fingerprints to avoid recognition. Since change does not necessarily result in a decrease in implicit image quality, most altered fingerprints are not detected by the fingerprint quality assessment algorithms now in use. In this research, we present an algorithm to detect changing fingerprints and classify the identified changes in the functional database into three groups. Studies were carried out using artificially generated and real - world modified fingerprints. The suggested technique identified 92% of changed fingerprints with a false alarm rate of 7%, compared to just 20% detected by the well - known fingerprint quality program NFIQ. Understanding changed fingerprints and the patterns that can be utilized to identify those images is the aim of this effort. This article contributes in the following ways in this regard: In order to circumvent the system, people have altered their fingerprints in the following ways: (a) case studies of those cases are produced; (b) the observed changes are categorized into three main groups and potential countermeasures are suggested; (c) a method is developed for creating altered fingerprints without actual data; (d) fingerprint recognition technology is modified; and (e) test results are presented that include both real and artificially produced modified prints. The experimental findings demonstrate the viability of the suggested method for identifying modified fingerprints and emphasize the necessity of carrying with this research project.
Keywords: Fingerprint Alteration, forensic analysis, identification method, proposed methods, algorithm
Edition: Volume 12 Issue 11, November 2023,
Pages: 1202 - 1204