Paper Info
Title
Fingerprint Match in Box.
Abstract
We open source fingerprint Match in Box, a complete end-to-end fingerprint recognition system embedded within a 4 inch cube. Match in Box stands in contrast to a typical bulky and expensive proprietary fingerprint recognition system which requires sending a fingerprint image to an external host for processing and subsequent spoof detection and matching. In particular, Match in Box is a first of a kind, portable, low-cost, and easy-to-assemble fingerprint reader with an enrollment database embedded within the reader’s memory and fingerprint spoof detector, feature extractor, and matcher all running on the reader’s internal vision processing unit (VPU). An onboard touch screen and rechargeable battery pack make this device extremely portable and ideal for applying both fingerprint authentication (1:1 comparison) and fingerprint identification (1:N search) to applications (vaccination tracking, food and benefit distribution programs, human trafficking prevention) in rural communities, especially in developing countries. We also show that Match in Box is suited for capturing neonate fingerprints due to its high resolution (1900 ppi) cameras.
Year
DOI
Venue
2018
10.1109/BTAS.2018.8698556
2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)
Field
DocType
Volume
Computer vision,Pattern recognition,Computer science,Fingerprint recognition,Vision processing unit,Fingerprint image,Fingerprint,Extractor,Artificial intelligence,Detector,Human trafficking,Rechargeable battery pack
Journal
abs/1804.08659
ISSN
Citations 
PageRank 
2474-9680
2
0.37
References 
Authors
4
3
Name
Order
Citations
PageRank
Joshua J. Engelsma1225.78
Kai Cao220718.68
Anil Jain3335073334.84