Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images.

ABSTRACT: In recent years, the need for security of personal data is becoming progressively important. In this regard, the identification system based on fusion of multibiometric is most recommended for significantly improving and achieving the high performance accuracy. The main purpose of this paper is to propose a hybrid system of combining the effect of tree efficient models: Convolutional neural network (CNN), Softmax and Random forest (RF) classifier based on multi-biometric fingerprint, finger-vein and face identification system. In conventional fingerprint system, image pre-processed is applied to separate the foreground and background region based on K-means and DBSCAN algorithm. Furthermore, the features are extracted using CNNs and dropout approach, after that, the Softmax performs

SUBMITTER: Cherrat EM 

PROVIDER: S-EPMC7924518 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature