Paper Info
Title
Tree Log Identification Based On Digital Cross-Section Images Of Log Ends Using Fingerprint And Iris Recognition Methods
Abstract
Tree log biometrics is an approach to establish log traceability from forest to further processing companies. This work assesses if algorithms developed in the context of fingerprint and iris recognition can be transferred to log identification by means of cross-section images of log ends. Based on a test set built up on 155 tree logs the identification performances for a set of configurations and in addition the impacts of two enhancement procedures are assessed.Results show, that fingerprint and iris recognition based approaches are suited for log identification by achieving 100% detection rate for the best configurations. In assessing the performance for a large set of tree logs this work provides substantial conclusions for the further development of log biometrics.
Year
DOI
Venue
2015
10.1007/978-3-319-23192-1_63
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT I
Field
DocType
Volume
Iris recognition,Computer vision,Pattern recognition,Computer science,Fingerprint,Artificial intelligence,Biometrics,Traceability,Biometric system,Test set
Conference
9256
ISSN
Citations 
PageRank 
0302-9743
2
0.40
References 
Authors
5
4
Name
Order
Citations
PageRank
Rudolf Schraml174.15
Heinz Hofbauer26715.04
Alexander Petutschnigg332.86
Andreas Uhl41958223.07