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- Creators: Barrett, The Honors College
Description
Abstract Latent fingerprints are a critical component of the evidence that is captured and analyzed from crime scenes and presented for convictions in court. Although fingerprint science has been used for many years in forensics, it is not without many criticisms and critiques from those that believe it is too subjective. Researchers from many disciplines have tried to refute this claim by completing experiments that would eventually lead to a fingerprint aging technique as well as providing statistical models and mathematical support. In this literature review, the research that has been widely published and talked about in this field was reviewed and analyzed to determine what aspects of the experiments are benefitting the study of degradation. By carefully combing through the methods and results of each study, it can be determined where future focuses should be and what disciplines need to be exploited for knowledge. Lastly, an important aspect of the experiments in recent years have depended on the collaboration with statistics so this evidence was examined to identify what models are realistic in determining error rates and likelihood ratios to support latent fingerprint evidence in court. After a thorough review, it is seen that although large strides have been taken to study the degradation of fingerprints, the day where fingerprints will be able to be definitively aged may be ways away. The current experiments have provided methods such as three-dimensional and visual parameters that could potentially find the solution, but also uncovered methods such as immunolabeling and chemical composition that face major challenges. From the statistically point of view, researchers are very close in developing equations that exploit the likelihood ratios of similarity and even calculate the various possible error rates. The evidence found in this review shows that science is one step closer to the age determination of fingerprints.
ContributorsPorter, Lindsey Jordan (Author) / De Alcaraz Fossoul, Josep (Thesis director) / Mancenido, Michelle (Committee member) / School of Criminology and Criminal Justice (Contributor) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
There are unrealistic expectations of the forensic science discipline by the public today. More specifically about the types of evidence that can be recovered from a fired cartridge casing. The common misconception with the evidence that can be recovered from a cartridge casing is that all three types of evidence: DNA, latent prints, and firearms can be recovered from the same cartridge casing. However, just because some analyses are possible does not mean that they are practical. The definition of possibility is that an event can happen. However, the definition of practicality is not only that it can happen, but that the event should occur to optimize the efficiency of a given task. Through literature review of previous studies as well as experimental data, each discipline (DNA, latent prints, and firearms and toolmark analysis) were evaluated. For the experimental trials, three total experiments were carried out. Experiment one focused on the possibility aspect, so in experiment one the best conditions were simulated to receive a positive result. Experiment two focused on creating conditions that would occur at a crime scene, and experiment three refined those variables to serve as middle ground. After evaluation, each discipline was classified as possible and/or practical. These results were then used to determine practical sequential processing for a fired cartridge casing. After both experimentation and review, it was determined that the best possible sequential processing path for a cartridge casing collected at the crime scene to get the quickest information back is as follows: Firearms, DNA, Latent Prints.
ContributorsKephart, Amanda K. (Author) / Armendariz Guajardo, Jose (Thesis director) / Kobojek, Kimberly (Committee member) / Rex, Scott (Committee member) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05