Title of article :
Review of Multimodal Biometric Identification Using Hand Feature and Face
Author/Authors :
Dhole, Sampada A Bhatati Vidyapeeth (Deemed Univ.) Pune - Bharati Vidyapeeth College of Engineering, India , Patil, V H Matosree College of Engineering and Research Center, India
From page :
179
To page :
184
Abstract :
In the era of Information Technology, openness of the information is a major concern. As the confidentiality and integrity of the information is critically important, it has to be secured from unauthorized access. Security refers to prohibit some unauthorized persons from some important data or from some precious assets. So we need accurateness on automatic personal identification in various applications such as ATM, driving license, passports, citizen’s card, cellular telephones, voter’s ID card etc. Unimodal system carries some problems such as Noise in sensed data, Intra-class variations, Inter-class similarities, Non universality and Spoof attacks. The accuracy of system is improved by combining different biometric traits which are called multimodal. This system gives more accuracy as it would be difficult for imposter to spoof multiple biometric traits simultaneously. This paper reviews different methods for fusion of biometric traits
Keywords :
Unimodal , Multimodal , Fusion levels , Fusion methods
Journal title :
Bulletin Of Electrical Engineering an‎d Informatics
Journal title :
Bulletin Of Electrical Engineering an‎d Informatics
Record number :
2696702
Link To Document :
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