Real-Time Iris Localization for Iris Recognition in Cellular Phone

Abstract

With the increasing need of guaranteeing the security in case of using bank transaction service by using cellular phone, it is required to apply biometrics for the security of cellular phone. Especially, iris recognition is good for cellular phone security because of its reliability and accuracy compared to other biometrics such as face, fingerprint and voice recognition. In this paper, we propose a new pupil and iris localization algorithm, which is apt for cellular phone platform based on detecting dark pupil and corneal specular reflection by changing brightness & contrast value. In addition, we lessen the processing time by excluding floating point operation in our algorithm, which is not apt for ARM CPU of CDMA cellular phone. Results show that our algorithm can be used for real-time iris localization for iris recognition in cellular phone.

Secure Authentication with Iris using Hamming Distance

“…Dal Ho Cho et. al [7], utilized ongoing iris restriction for iris acknowledgment in mobile phone. They fail to get accuracy in recognition process.…”

Pupil and Iris Localization for Iris Recognition in Mobile Phones

“…Figure 3 shows the result of eye extract method. The iris radius of the extracted eye image should be 80 ~ 120 pixels [10]. In the first step, we find approximate position of the pupil and iris.…”