In a biometric identification system, the identity corresponding to the input data (probe) is
typically determined by comparing it against the templates of all identities in a database …

Descriptors such as local binary patterns perform well for face recognition. Searching large
databases using such descriptors has been problematic due to the cost of the linear search …

Ear classification refers to the process by which an input ear image is assigned to one of
several pre-defined classes based on a set of features extracted from the image. In the …

In biometric identification systems, the identity associated with the input data is determined
by comparing it against every entry in the database. This exhaustive matching process …

Face image retrieval is an important issue in the practical applications such as mug shot
searching and surveillance systems. However, it is still a challenging problem because face …

The outer ear is an emerging biometric trait that has drawn the attention of the research
community for more than a decade. The unique structure of the auricle is long known among …

Objective: Biometric image retrieval becomes the most popular application scenario in the
real world where the many application are started to use bio metric authentication. It plays a …

In this paper, based on Bayesian relevance feedback methods, we propose a novel
interactive face retrieving model based on two objective functions, one is the Maximum a …

Due to modern technological advancements, the pervasiveness and complexity of images
have remarkably increased. Searching databases for similar visual content, ie, Content …

In order to satisfy the quality of service (QoS) requirements of the applications on Internet,
the Internet Engineering Task Force (IETF) has defined two network service architectures …