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Cancelable Fingerprint Features Using Chaff Points Encapsulation
Author(s) -
Mokhled S. Al-Tarawneh
Publication year - 2018
Publication title -
informatica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 34
eISSN - 1854-3871
pISSN - 0350-5596
DOI - 10.31449/inf.v42i3.1855
Subject(s) - minutiae , biometrics , fingerprint (computing) , computer science , pattern recognition (psychology) , fingerprint recognition , encapsulation (networking) , artificial intelligence , chaff , data mining , computer security , archaeology , history
Recently, Biometrics imaging is widely used in several security areas such as security monitoring, database access, border control and immigration, and for reliable personal verification, identification and recognition schemes. To determine or confirm the identity of an individual's based on their physiological and/or behavioral characteristics, biometric features must be used. The aim of this paper is to review cancelable biometric generation and protection schemes. An approach for generating chaff points for fingerprint template features encapsulation as fingerprint cancelability infrastructure has been presented. Results show that strong positive correlation of original minutiae scores go with high decapsulated minutiae scores. To test the given cancelable approach performance two indexes are used, FAR (false accept rate) and FRR (false reject rate).

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