Development of an intelligent multimodal biometric system for household appliances control
Over the year, biometrics features which include but not limited to face, fingerprints, iris, hand geometry, palm print have been explored as a means of individual/ personal recognition. However, the existing spectra of biometric devices in real world application are contact-based devices and are mo...
Main Author: | Salami, Momoh Jimoh Emiyoka |
---|---|
Format: | Monograph |
Language: | English |
Published: |
s.n
2012
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/35432/ http://irep.iium.edu.my/35432/ http://irep.iium.edu.my/35432/1/EDW_B11-_012-0490_report_full.pdf |
Similar Items
-
Development of an intelligent multimodal biometric system for household appliances control
by: Abiodun musa, Aibinu
Published: (2012) -
Robust classification of motor imagery EEG signals using statistical time–domain features
by: Khorshidtalab, Aida, et al.
Published: (2013) -
Inovasi UMP bantu pesakit lumpuh
by: Nor Salwana, Mohammad Idris
Published: (2016) -
Computational modeling of mood (CMOM) based on neurophysiological stimuli of affect
by: Dwi Handayani, Dini Oktarina, et al.
Published: (2017) -
Agarwood classification based on odor profile using intelligent signal processing technique
by: M. S., Najib
Published: (2012)