The value of the automated fingerprint identification system as a technique in the identification of suspects

Abstract

This research is concerned with the value of the Automated Fingerprint Identification System (AFIS) as a technique in the identification of suspects. A problem was identified in the withdrawal of cases where suspects had been identified by means of fingerprints. The study attempted to determine the value of AFIS in the identification of suspects, to find new knowledge that could improve the situation and suggest ways to apply this knowledge to enhance the performance of AFIS experts, criminal investigators and the prosecution in a court of law. The study adopted a multi-method approach to data collection, with the researcher using a literature review, docket analysis and interviews with AFIS experts from Limpopo Province as his sources of data. The results of the study showed that AFIS is a valuable system for the identification of fingerprints in that it is fast and accurate but that in South Africa AFIS experts encounter a number of challenges with the system. The main challenges identified were the potential for the system to be attacked by computer hackers; the slowness of creating an SAPS 69 record, particularly when dealing with prints of poor quality; which leads to cases being closed where AFIS experts’ evidence is not tested/accepted; and the fact that in South Africa AFIS is not applied across government departments, which would allow a more comprehensive database. On the basis of these findings, the study recommends that steps be taken to improve the quality of prints taken at crime scenes, that attention be paid to speeding up the process of dealing with the relevant SAPS 69 records, that investigators and prosecutors be informed about the AFIS process and that the AFIS database be extended to include the fingerprints of all South Africans and immigrants to the country. Lastly, the study suggests that the databases of government departments such as Home Affairs, Public Works Roads & Transport and Safety Security & Liaison (Traffics) be combined to form one national database.