Title :
Review on finger vein authentication system by applying neural network
Author :
Hoshyar, Azadeh Noori ; Sulaiman, Riza
Author_Institution :
Dept. of Comput. Sci., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
Biometric technologies are automated methods for recognizing individuals based on biological and behavioral characteristics. Establishing human identity, reliably and conveniently has become a major challenge for a modern-day society. Biometric technologies developed in response to the growing worldwide demand for automated human identification include finger, face, hand, iris, and other identifiers. Therefore, this paper reviews the system based on finger vein leads towards authentication of an individual. This system capture image of finger vein by shining a near-infrared light, then some image processing is done on vein image and finally trained Back propagation Neural Network (BPN) verify whether the person is authorized.
Keywords :
backpropagation; blood vessels; fingerprint identification; neural nets; automated human identification; back propagation neural network; biometric technologies; finger vein authentication system; finger vein image; image processing; near-infrared light; Biomedical imaging; Character recognition; Fingerprint recognition; Fingers; Geometry; Lead; Authentication; Biometric; Finger Vein; Identification;
Conference_Titel :
Information Technology (ITSim), 2010 International Symposium in
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-6715-0
DOI :
10.1109/ITSIM.2010.5561595