Until now, iris recognition has been used in many fields. Recently, there have been attempts to adopt iris recognition technology for the security of mobile phones. For example, in case of bank transaction service by using a mobile phone, using a mobile phone can use high level of security based on iris recognition. In this paper, we propose a new pupil & iris segmentation method apt for the mobile environment. We find the pupil & iris at the same time, using both information of the pupil and iris. And we also use characteristic of the eye image. Experimental result shows that our algorithm has good performance in various images, which include motion or optical blurring, ghost, specular refection and etc. from various environments for iris recognition system. Pupil Sclera Corneal ReflectionIris

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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.

Abstract. Driven by the development of wireless services with the advent of smart phone along with iPhone, wireless services are drawing attentions rather than PC internet based wired services. Since this technique is a mobile device judged as being in an environment suitable to provide SNS, there also need be researches. This research proposed mobile based SNS-UCC design through mobile based SNS-UCC writing tool development cases.

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