Sentence examples for biometric application from inspiring English sources

Bringer et al. [68] propose a secure Hamming distance calculation for biometric application, called as SHADE.

This paper describes FIRME (Face and Iris Recognition for Mobile Engagement) as a biometric application based on a multimodal recognition of face and iris, which is designed to be embedded in mobile devices.

Vein pattern recognition in biometric applications has been researched and applied for the last two decades.

Rane et al. [67] also propose secure Hamming distance calculation for biometric applications.

More social acceptance BCSs and CB are expected to increase the social acceptance of biometric applications.

Traditional methods of human recognition because of their limitations are being replaced by biometric applications.

As a result and in spite of plenty of privacy concerns the consumer market will soon see a flood of biometric applications.

Features extracted from electroencephalogram (EEG) recordings have proved to be unique enough between subjects for biometric applications.

This is particularly true for biometric applications that require matching a large number of high-dimensional feature vectors in real time.

The paper is based on the fact that features extracted from electroencephalogram (EEG) recordings have proved to be unique enough across subjects for biometric applications.

The main contribution of this paper involves adopting wavelet packet cepstral coefficients as new features for heart sound signals in biometric applications.