A.F.I.S. is a useful TOOL which can assist crime investigators in many areas, such as: Identifying crime scene suspects Identifying "liars" (Suspects who give officers a false name) Identifying deceased parties Identifying unknown parties (e.g. Alzheimer patients etc.)
Full sets of 'ten print' fingerprint records, after being examined by a trained technician, are stored on AFIS. Each fingerprint image is 'filed' based on its pattern type (similar to the Henry Classification System), its core-delta distance* (applicable to loops and whorls only) and minutiae. RCMP and local police services maintain their ten print records on a daily basis. (* core-delta distance is not applicable to all AFIS systems)
How Does AFIS fit into the Investigation Process?
Evidence prints (latents) located at crime scenes or on documents are first collected by the Identification or Scene of Crime Officer. The Ident Officer reviews each print for possible manual comparison (if a suspect is known) and AFIS suitability.
The crime scene print is submitted to AFIS. The AFIS Technician (perhaps better described as a Friction Ridge Identification Specialist) analyzes the impression in order to determine possible pattern type, major ridge path deviations, different types of distortion present, proper orientation and possible digit determination. Analysis is the first step in the identification process. The technician then begins the process of loading the print on the AFIS computer using as much of the criteria previously mentioned as can be determined from the crime scene print. Quite often crime scene prints are only partial prints and extremely distorted. AFIS is capable of enhancing the print using contrast and brightness adjustments but the technician must be a fully trained latent print examiner in order to accurately 'load' the print.
Specific search parametres are set and AFIS searches the specified 'known' ten print file databases using the crime scene print information such as pattern type, core-delta distance* and specified digit information (if possible) to filter out file prints that do not match. Obviously the more information about the print that can be specified will help narrow the search. The minutiae (major ridge path deviation locations) data is then compared and a match report is generated listing the respondents. |