State-of-the-art face recognition systems are based on deep (convolutional) neural
networks. Therefore, it is imperative to determine to what extent face templates derived from …

Cancellable biometrics have been enrolled in several applications such as cloud computing
and cyber security. This makes researchers investigate their approaches in this field. This …

Biometric technology is an emerging field of information technology that recognizes a
person based on a feature vector derived from specific physiological or behavioral …

Human recognition using their biological, behavioral, physiological, and chemical traits is a
contemporary as well as a secured approach. A series of biometric-based systems have …

Biometrics in modern computer science is defined as the automated use of biological
properties to identify individuals. The early use of biometrics can be dated back to nearly …

Biometric cryptosystem has been proven to be a promising approach for template protection.
Cryptosystems such as fuzzy extractor and fuzzy commitment require discriminative and …

For the security issue of multiple biometric templates in current multi-biometric systems, this
paper proposes a cancelable multi-biometric template generation algorithm based on Bloom …

Fingerprint minutiae information is an unordered and variable-sized collection of minutiae
locations and orientations. Advanced template protection algorithms which require a fixed …

Using single feature as the basis of judgement will lead to lower accuracy and robustness of
face recognition. Accordingly, a multi feature Echo State Network (ESN) fusion face …

A security index for biometric systems is essential because biometrics have been widely
adopted as a secure authentication component in critical systems. Most of bio-metric …