… GAR for feature level fusion … feature level fusion gives GAR of 98.30% using fingerprint,
retina and finger vein, the proposed method for Face, Palmprint and Ear at feature level fusion …

… a new technique to perform fusion at the feature level by optimal feature level fusion; here
the … palmprint recognition device. We have also improved real-time palmprint recognition …

… ] using feature-level fusion followed by RootSIFT feature matching with Hellinger kernel distance
metric. As the features of multiple samples are fused … Effective palmprint recognition was …

… In contrast to 2D recognition approaches, 2D and 3D palm print information were fused at
the feature level (Cui, 2014). Zhang et al. (Zhang, Guo, & Gong, 2016) discussed the optimal …

… Among fusion strategies, feature-level approaches have more distinctive information, in
contrast to the matching-level strategies, especially for the analogous features. …

… Feature-level fusion refers to algorithms in which the two features extracted from each modality
data are fused. Yang and Sun [25] attempted to generate a new combined feature vector …

This paper presents a deep learning method for human authentication based on hand dorsal
characteristics. The proposed method uses the fingernail (FN) and the finger knuckle print (…

… this research proposes and develops a feature level fusion scheme based on Convolutional
… A feature level multimodal approach for palmprint and knuckleprint recognition using …

… In this work, we have considered a feature-level fusion of dorsal finger knuckle print with
their regions major and minor knuckle for personal recognition systems. The proposed system …

… efficient approach based on multimodal biometrics- based user authentication and key
exchange system… In this system, texture properties are extracted from the palm print, face and iris. …