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dc.contributor.authorHayati Hasibuan, Zainal
dc.date.accessioned2016-05-31T06:30:32Z
dc.date.available2016-05-31T06:30:32Z
dc.date.issued2015-06
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/41775
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractMultimodal Biometrics is a system that are capable of using more than one physiological characteristic for verification or identification. It also refer to the automatic identification or verification of an individual. Biometric is a unique. For biometric identification, it process of trying to find out a person’s identify by comparing the present against a biometric pattern database . Here are many behaviour function in addition to physiological in which employed in biometric program for example fingerprint, iris, deal with, hearing, personal, voiceprint in addition to hands print out. Man or women identification can be separated in proof in addition to identification is dependent upon your circumstance from the request. Within multimodal biometric methods include many different distinct modalities. Multi-sensor, Multi-method, Multicharacteristic, Multi-capture/instance in addition to Multi-verifier is actually among multimodal biometric program. Biometric involve some help. By way of example, can certainly retain excessive tolerance identification placing. Also, your probability connected with accepting the impostor is actually drastically lowered. Biometric could also lower failure to sign-up rate in addition to hard to utilize phony biometric. This kind of task brings together deal with in addition to arms to become more final results. Incorporate two techniques, particularly the procedure connected with coaching in addition to assessment method.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectMultimodal Biometricsen_US
dc.subjectBiometricsen_US
dc.subjectPhysiological verificationen_US
dc.subjectPalmprinten_US
dc.titleInformation of face & palmpront multimodal biometricen_US
dc.typeLearning Objecten_US
dc.contributor.advisorDr. Muhammad Imran Bin Ahmaden_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US


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