Feature-level fusion of fingerprint and online signature for multimodal biometrics
作者： Mehwish Leghari , Shahzad Memon , Asghar Ali Chandio
DOI: 10.1109/ICOMET.2018.8346358
关键词:
摘要: Multimodal biometrie systems have received greater attention from the research community since few decades due to various reasons such as: increase accuracy and efficiency as compared a single biometric system, decrease error rate or false acceptance improve security of data. In this research, preliminary idea has been discussed for fusion fingerprint online signature make data safe theft misuse. The proposed multimodal system will combine features both signature, which are most widely used physiological behavioral traits.
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