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Students are expected to write one concise and succinct term paper of 10 double-spaced pages of text without going over the 12-page maximum. (Note: A cover page, abstract page, and a work cited page do not count towards the 10-page minimum paper length requirement).
The paper shall be written in APA format in and shall not have been previously submitted to any other instructor for any other course. These papers should synthesize major ideas and themes outlined in the readings and lectures and reflect critical analysis.
Automated Fingerprint Identification is an essential component in the field of criminology. The technology provides a fingerprint comparison platform that enables expeditious and accurate identification of criminals by law enforcement agencies. The department of Forensic investigations has the mandate to collect and document millions of human fingerprints in a common database for comparison purposes. During a criminal investigation, forensic experts use the automated fingerprint identification system to compare the suspect’s fingerprints against the file prints in the existing database (Pavithra, & Suresh, 2019. The capability to produce computerized file prints from millions of fingerprint records improves accuracy levels, especially in instances of latent fingerprint identification where the only available evidence in a crime scene is the suspect’s fingerprints. Moreover, the Automated Fingerprint Identification system can detect alias usage, which contributes to the overall productivity of the forensic community. Automated Fingerprint Identification contributes significantly to the development and operationalization of efficient criminal justice information systems by providing the requisite research and statistical input necessary to conclusively investigate crimes. The use of the Automated Fingerprint Identification Technology to identify criminals has undergone several advancements, including the ten-print revolution and latent processing capabilities that have further enhanced information law enforcement and policy implementation (Moses, et al, 2011). The continually improving Automated Fingerprint Identification system now enables police departments and other government authorities to make accurate and timely identification of the people incapacitated during criminal activities, the deceased, or witnesses that would like to conceal their identity for safety reasons. Automated Fingerprint Identification is one of the cutting-edge modern technologies that have revolutionized the fight against crime and ought to receive social, economic, and political goodwill from the general public and government authorities. Concerted efforts to improve the accuracy and speed of the process of criminal identification would go a long way to create a crime-free society that guarantees sustainable peace and safety for all.
Moses, K. R., Higgins, P., McCabe, M., Prabhakar, S., & Swann, S. (2011). Automated fingerprint identification system (AFIS). Scientific Working Group on Friction Ridge Analysis Study and Technology and National institute of Justice (eds.) SWGFAST-The fingerprint sourcebook, 1-33.
Pavithra, R., & Suresh, K. V. (2019, April). Fingerprint Image Identification for Crime Detection. In 2019 International Conference on Communication and Signal Processing (ICCSP) (pp. 0797-0800). IEEE.
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