Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert …

Several issues related to the vulnerability of fingerprint recognition systems to attacks have
been highlighted in the biometrics literature. One such vulnerability involves the use of …

Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-
physical system (CPS) provides a new era for industries especially in the healthcare sector …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

Designing discriminative powerful texture features robust to realistic imaging conditions is a
challenging computer vision problem with many applications, including material recognition …

Outdoor parking lot vacancy detection systems have attracted a great deal of attention in the
last decade due the large number of practical applications. However, a common problem …

Biometric authentication systems are quite vulnerable to sophisticated spoofing attacks. To
keep a good level of security, reliable spoofing detection tools are necessary, preferably …

Recently developed appearance descriptors offer the opportunity for efficient and robust
facial expression recognition. In this paper we investigate the merits of the family of local …