Multimodal biometric personal

Recognition is an essential function of human beings. Humans easily recognize a person using various inputs such as voice, face, or gesture. In this study, we mainly focus on DL model with multi-modality which has many benefits including noise reduction. We used ResNet-50 for extracting features from dataset with 2D data.

11p vicolorado2711 22-10-2020 14 0   Download

Algorithm based on facts and existing data show that the recognition of an identification or verification system performance can be improved by using more than one biometric "Multimodal Biometric".

5p byphasse043256 24-03-2019 12 2   Download

In this paper, the authors present a multimodal biometric system using face and fingerprint features with the incorporation of Zernike Moment (ZM) and Radial Basis Function (RBF) Neural Network for personal authentication.

12p girlsseek 27-02-2019 33 0   Download