IRIS Recognition System

Kavita Borkar, S. Salankar
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Abstract

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.
虹膜识别系统
最近的调查显示,“虹膜”生物识别技术已成为一种非常流行的技术,受到安防系统、工业领域、医疗领域、教育领域等不同领域的研究人员的广泛关注。由于其具有很高的准确率和鲜明的特点,在访问控制和安全因素发挥重要作用的领域得到了广泛的应用和应用。由于虹膜识别具有准确性高、可靠性好、特点鲜明等特点,对虹膜识别的需求日益增加。由于人的虹膜是一种静态的特征,在人的整个生命周期中不会受到任何环境的改变和影响,因此该技术在现有的生物识别系统中提供了一种非常有效和强大的识别特征提取技术。为了提高虹膜识别系统的有效性能,研究人员必须针对虹膜系统在运行过程中遇到的各种挑战进行更多的研究,例如在不稳定的环境条件下采集到的各种图像、噪声和模糊图像等。我们的研究工作的主要目的是讨论虹膜识别迄今为止不同研究学者使用的各种方法和技术以及虹膜识别过程中需要的各个步骤。
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