Title
A hardware solution for real-time intelligent fingerprint acquisition
Abstract
The first step in any fingerprint recognition system is the fingerprint acquisition. A well-acquired fingerprint image results in high-resolution accuracy and low computational effort of processing. Hence, it is very useful for the recognition system to evaluate recognition confidence level to request new fingerprint samples if the confidence level is low, and to facilitate recognition process if the confidence level is high. This paper presents a hardware solution to ensure a successful and friendly acquisition of the fingerprint image, which can be incorporated at low cost into an embedded fingerprint recognition system due to its small size and high speed. The solution implements a novel technique based on directional image processing that allows not only the estimation of fingerprint image quality, but also the extraction of useful information (in particular, singular points). The digital architecture of the module is detailed and their features in terms of resource consumption and processing speed are illustrated with implementation results into FPGAs from Xilinx. Performance of the solution has been verified with fingerprints from several standard databases that have been acquired with sensors of different sizes and technologies (optical, capacitive, and thermal sweeping).
Year
DOI
Venue
2014
10.1007/s11554-012-0286-1
J. Real-Time Image Processing
Keywords
Field
DocType
confidence level,fingerprint recognition system,fingerprint acquisition,recognition confidence level,fingerprint image quality,embedded fingerprint recognition system,well-acquired fingerprint image result,recognition process,fingerprint image,real-time intelligent fingerprint acquisition,new fingerprint sample,hardware solution
Fingerprint recognition,Computer science,Image processing,Real-time computing,Artificial intelligence,Computer hardware,Computer vision,Recognition system,Fingerprint Verification Competition,Field-programmable gate array,Capacitive sensing,Fingerprint,Digital architecture
Journal
Volume
Issue
ISSN
9
1
1861-8219
Citations 
PageRank 
References 
7
0.97
21
Authors
2
Name
Order
Citations
PageRank
Rosario Arjona1144.31
Iluminada Baturone214923.70