Multimodal Biometrics as Attacks Measure in Biometrics Systems

摘要

Multimodal systems are considered to be the most dependable among the other types of biometric systems because it is more difficult to forge multiple traits than a single one. Hence, having a fingerprint multi-algorithmic system would not make authentication more secure considering an attacker trying to gain unauthorized access provided with a fingerprint replica. Therefore, multimodal systems are widely deployed and the most generally accepted. Therefore, in this review paper we proposes an integration of fingerprint and face recognition systems to provide anti-spoofmg and replay attacks measures making it difficult for an impersonator/imposter to steal multiple biometric traits of a genuine user.