TY  - CONF
N2  - This work presents a multimodal biometrics system that combines face and fingerprint authentication modules. The proposed face verification module incorporates Gabor Wavelet texture features and face edge features. As for the fingerprint module, a simple algorithm is employed for extracting fingers' Minutia in order to build feature vector for each sample fingerprint. The proposed system can be used effectively for personal identification at international airports checkpoints. © 2014 IEEE.
N1  - cited By 4; Conference of 18th IEEE International Symposium on Consumer Electronics, ISCE 2014 ; Conference Date: 22 June 2014 Through 25 June 2014; Conference Code:107396
TI  - A combined face, fingerprint authentication system
ID  - scholars4864
KW  - Biometrics; Consumer electronics
KW  -  Face Verification; Feature vectors; Fingerprint authentication; Fingerprint authentication system; International airport; Multi-modal biometrics; Personal identification; SIMPLE algorithm
KW  -  Authentication
CY  - Jeju
AV  - none
A1  - Ali, A.S.O.
A1  - Sagayan, V.
A1  - Malik, A.S.
A1  - Rasheed, W.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907365253&doi=10.1109%2fISCE.2014.6884280&partnerID=40&md5=054cd32cad4d85e076af895e170ca929
Y1  - 2014///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781479945924
ER  -