NDLI: Real-time iris localization for iris recognition in cellular phone

Content Provider	IEEE Xplore Digital Library
Author	Dal Ho Cho Kang Ryoung Park Dae Woong Rhee
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Sangmyung Univ., Seoul, South Korea (Dal Ho Cho)
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 and 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.
Sponsorship	Microsoft Inc. Qovia, Inc. Towson Univ. Int. Assoc. for Comput. and Inf. Sci. (ACIS)
Starting Page	254
Ending Page	259
File Size	466170
Page Count	6
File Format	PDF
ISBN	0769522947
DOI	10.1109/SNPD-SAWN.2005.62
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Cellular phones Face recognition Brightness Speech recognition Fingerprint recognition Reflection Security Face detection Iris recognition
Content Type	Text
Resource Type	Article

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