Title :
Fuzzy evaluation of biometric authentication systems
Author :
Arkadiusz Banasik;Adrian Kapczyński
Author_Institution :
Silesian University of Technology, 41-800 Zabrze Roosevelt Str. 26-28 Poland
Abstract :
This paper presents a new approach in evaluation of biometric identity verification system, which is based on three important indicators: false acceptance rate, false reject rate and failure to enroll rate. Those mentioned indicators are grouped by using fuzzy sets and linguistic variables to provide important pieces of information.
Keywords :
"Authentication","Fuzzy logic","Artificial intelligence","Fuzzy sets","Problem-solving","Neurons","Databases"
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072881
