Deep networks have been successfully applied to unsupervised feature learning for single
modalities such as Text, Image, or Audio. Here, we present the Deep Network that learns …

Speaker recognition aims to recognize the identity of the speaking person. After decades of
research, current speaker recognition systems have achieved rather satisfactory …

Background Quality patient care requires comprehensive health care data from a broad set
of sources. However, missing data in medical records and matching field selection are 2 real …

Image quality is one of the most crucial influence factors when conducting biometric image-
based human identification. However, it is not considered in most existing multi-biometric …

Convolutional neural networks (CNNs) are most commonly used for handling complex
visual tasks. Due to the significant effort in training accurate machine learning models …

Fingerprint presentation attack detection has become significant due to a wide-spread
usage of fingerprint authentication systems. Well-replicated fingerprints easily spoof the …

India's Aadhaar is the largest biometric identity system in history, designed to help deliver
subsidies, benefits, and services to India's 1.4 billion residents. The Unique Identification …

(57) ABSTRACT A face verification method and apparatus is disclosed. The face verification
method includes selecting a current verifi cation mode, from among plural verification …

The fingerprint identification technology has been developed and applied effectively to
security systems in financial transactions, personal information security, national security …

In this article, a novel framework that fuses the posture data taken by a drone (or unmanned
aerial vehicle, UAV) camera and the wearable sensors data recorded by smartwatches is …