Powerful and Accurate Matching of Latent Prints and Unknown Faces
Employs robust matching algorithms for both friction-ridge (finger, palm, latent) and facial image matching which allow the use of evidence that may not be considered “of sufficient value” by other systems
Friction-ridge algorithms allow searching and matching of latent prints with as few as four identifiable minutiae features
Facial matching algorithms are among the most accurate in the industry, providing the ability to effectively utilize poor quality, off-angle, and occluded or partially obscured facial images. Also provides matching of images with a wide age variance
Employs a distributed search process which is scalable over multiple processors and/or networked dedicated servers. Multiple instances of the AFIX Engine application may be employed as “client” engines controlled by a “master” engine which, when combined with the appropriate systems resources, provides the ability to scale search performance to virtually any level.
The base system includes one AFIX Engine master and one client, each configured address separate processor cores.
The number of clients may be customized for each implementation. The search performance examples below are based upon a current PC-based system configuration searching a latent print against a database of standard 14-image fingerprint records including rolled and plain impressions: