Iris recognition

Reliability (semiconductor)

Philosophy

Artificial intelligence

Power (physics)

Physics

Feature (linguistics)

IRIS (biosensor)

Pattern recognition (psychology)

Biometrics

Pure mathematics

Mathematics

Biology

Quantum mechanics

Operating system

Computer science

Botany

Process (computing)

Linguistics

Feature extraction

Field (mathematics)

Identification (biology)

Computer vision

Recent survey's revealed that " IRIS" biometric recognition method becomes a very popular technique and gained a lots of attraction by various researchers in different types of fields like security systems, industrial field, medical fields, educations fields etc. for detecting any personnel . As it has very high rate of accuracy and distinct features it has been widely applied and used in widen areas where the control on access and security factor plays a very important role. The need of iris recognition is going on increasing day-by-day as it has much accuracy, reliability, and distinct features. This technique gives a very effective and powerful identification features extraction technique from all the available biometric system as we all know that human iris is a static feature and will not be changed or get affected by any environmental situation during the complete life span of a human being. For the effective performance of an iris recognition system researchers have to do more work on different challenges arises during the operation of the iris system such as various images collected in unsteady environmental condition, noisy and blurred images and many other conditions. The main aim of our research work is to discuss the various methods and techniques has been used till now by different research scholars for iris recognition and various steps required in iris recognition process.

IRIS Recognition System