Feature-level fusion of fingerprint and online signature for multimodal biometrics
Mehwish Leghari, Shahzad Ahmed Memon, Asghar Ali Chandio · 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) · 2018
Multimodal biometrie systems have received greater attention from the research community since few decades due to various reasons such as: to increase accuracy and efficiency as compared to a single biometric system, decrease error rate or false acceptance and improve the security of the biometric data. In this research, a preliminary idea has been discussed for the fusion of fingerprint and online signature to make the biometric data safe from theft and misuse. The proposed multimodal biometric system will combine the features from both the fingerprint and the signature, which are the most widely used physiological and behavioral biometric traits.