Sunday, April 10, 2011

Seminar on Iris Scanning

Iris recognition is a method of biometric authentication that uses pattern-recognition techniques based on high-resolution images of the irides of an individual's eyes.

Not to be confused with another, less prevalent, ocular-based technology, retina scanning, iris recognition uses camera technology, with subtle infrared illumination reducing specular reflection from the convex cornea, to create images of the detail-rich, intricate structures of the iris. Converted into digital templates, these images provide mathematical representations of the iris that yield unambiguous positive identification of an individual.

Iris scanner

Iris recognition efficacy is rarely impeded by glasses or contact lenses. Iris technology has the smallest outlier (those who cannot use/enroll) group of all biometric technologies. Because of its speed of comparison, iris recognition is the only biometric technology well-suited for one-to-many identification. A key advantage of iris recognition is its stability, or template longevity, as, barring trauma, a single enrollment can last a lifetime.

Reference Material

Grid network

A grid network is a kind of computer network consisting of a number of (computer) systems connected in a grid topology.

In a regular grid topology, each node in the network is connected with two neighbors along one or more dimensions. If the network is one-dimensional, and the chain of nodes is connected to form a circular loop, the resulting topology is known as a ring. Network systems such as FDDI use two counter-rotating token-passing rings to achieve high reliability and performance. In general, when an n-dimensional grid network is connected circularly in more than one dimension, the resulting network topology is a torus, and the network is called "toroidal". When the number of nodes along each dimension of a toroidal network is 2, the resulting network is called a hypercube.

A parallel computing cluster or multi-core processor is often connected in regular interconnection network such as a de Bruijn graph , a hypercube graph, a hypertree network, a fat tree network, a torus, or cube-connected cycles.

Note that a grid network is not the same as a grid computer (or computational grid) (even though the nodes in a grid network are usually computers, and grid computing obviously requires some kind of computer network to interconnect the computers)

Reference Material