Identification of Full and Partial Prints Using an Automatic Identification System
Marta Szpilowska；Lama Appesh；Jennifer J. Jackiw；Marcel Roberts；Gloria Proni
Forensic Science ； Fingerprint Detection ； Partial and Full Prints ； Automatic and Manual Minutiae Extraction
Forensic Science Journal
|Volume or Term/Year and Month of Publication||
14卷1期（2015 / 12 / 01）
33 - 38
In this paper, AFIX Tracker, a minutia-based fingerprint identification system developed by AFIX Technologies, was used to search 1000 rolled prints against a database of pressed fingerprints. In the analysis, the minutiae were extracted manually or with the help of the Smart Extract feature, included in the software package. It was found that a manual extraction of minutiae is highly more preferable to the automatic feature in order to have high values of fingerprint identification. Moreover, the quality of the prints and their sizes was found to be the limiting step. Because a full fingerprint of reliable quality is not always found at a crime scene, the analysis of partial prints of different dimensions was also investigated. It was found that area of fingerprints up to 1 cm^2 could be easily identified.