We have made significant progress in automatic speech recognition (ASR) for well-defined
applications like dictation and medium vocabulary transaction processing tasks in relatively …

Recent research has established the possibility of deducing soft-biometric attributes such as
age, gender, and race from an individual's face image with high accuracy. However, this …

Fingerprint recognition has found a reliable application for verification or identification of
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …

Immigration cards holding both passport number and measures of the user's hand [1];
fingerprints taken as a legal requirement for a driver license, but not stored anywhere on the …

Electrocardiogram signals acquired through a steering wheel could be the key to seamless,
highly comfortable, and continuous human recognition in driving settings. This paper …

In this paper, we design and evaluate a convolutional autoencoder that perturbs an input
face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms …

Electroencephalogram (EEG) signal presents a great potential for highly secure biometric
systems due to its characteristics of universality, uniqueness, and natural robustness to …

Finger vein, as an intrinsic trait, has received increasing attention from academia and
industry for its liveness detection ability and high security. However, the principle of vein …

With the rapid development of wearable Internet of Things (WIoT) devices, a significant
amount of sensitive/private information collected by them poses a considerable challenge to …

Writer identification is an important topic for pattern recognition and artificial intelligence.
Traditional methods rely heavily on sophisticated hand-crafted features to represent the …