CHALLENGES IN AUTOMATED IRIS RECOGNITION SYSTEM
Mandeep Singh Walia · 2014
Abstract: Biometrics is becoming an interesting topic now in regards to computer and network security. Iris biometric recognition use small, high-quality cameras to capture a black and white high-resolution photograph of the iris. Once the image is captured, the iris ’ elastic connective tissue—called the trabecular meshwork—is analyzed, processed into an optical “fingerprint, ” and translated into a digital form. Given the stable physical traits of the iris, this technology is considered to be one of the safest, fastest, and most accurate, non-invasive biometric technologies. The tremendous progress in iris recognition systems has resulted in several challenges and new opportunities, which have been the focus of recent research efforts. Scientists are continually trying hard to bring more efficiency and reliability in the present devices. The formidable challenge is to reliably locate the eyeball, as iris is a moving object with a small surface area residing within an eyeball. The segmentation accuracy also plays an important role in automated iris recognition and the reduction in complexity by encoding and efficiency of the matching algorithms will also become important as recognition application is deployed for large populations. Experimental results show that the proposed method has good recognition performance.