The Identification
Solutions of Zaf Systems delivers a comprehensive palm print
identification tool that builds upon our legacy of latent
fingerprint accuracy. The Automated Identification System is
field tested and available today as a stand-alone system or
integrated component
Features
It is estimated that unknown prints
are found at about 60 percent of crime scenes, and that
30
percent of these are palm prints. Before automated palm
print technologies were developed by NEC Solutions America,
criminal investigators had no choice but to conduct
laborious one-at-a-time manual searches of palm prints taken
from suspects against very large databases collected over
the past 25 to 30 years. The Automated PalmPrint™
Identification System interfaces with the NECNIST Archive
System and is an ideal complement to existing AFIS21™
systems. It provides a solution of "unsolvable" cases, new
opportunities for cooperation among agencies, with cost
savings and time savings for investigators.
Input and Image Processing:
Includes scan, cropping and
descriptive data input
Selective display of gray,
skeleton, minutia, and zone of information
Selective edit of skeleton and
zone information
Image enhancing and editing tools
for latent palm prints using Latent Examiner Software.
Side-by-side image verification
Matching:
Based on
Zaf System's proven relation algorithms (no distinct
pattern types are related to palm prints) with
additional tailored algorithms
Supports 360° degree matching
High-speed
matching solution seamlessly scalable for small to large
agencies
Charting
of math candidates with rank order notification
Interfaces
with an Archive System for storage and retrieval of data
and images