Open AccessComparison between Physiological and Behavioral Characteristics of Biometric System
Author(s) -
Azal Habeeb
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.6.43
Subject(s) - biometrics , computer science , iris recognition , fingerprint (computing) , artificial intelligence , mel frequency cepstrum , speech recognition , enhanced data rates for gsm evolution , identity (music) , iris (biosensor) , computer vision , pattern recognition (psychology) , hand geometry , face (sociological concept) , feature extraction , social science , physics , sociology , acoustics
Biometrics is a technical aspect to identify each person from others. It is one of the ways to distinguish a person’s identity. The biometric system plays a vital role in data security. There are two types of biometric systems, i.e., physiological and behavioral biometrics. Physiological biometrics involves the fingerprint, iris, and face, while behavioral biometrics includes the signature, stroke, and voice. This paper discussed the iris recognition technique using the Canny edge detector and Hough transform to separate iris region from the eye images. The voice recognition technique was discussed using mel-frequency cepstral coefficient (MFCC) method. Finally, the paper compared iris recognition and voice recognition according to their properties and their performance.