DocumentCode
3260180
Title
Real-time iris localization for iris recognition in cellular phone
Author
Cho, Dal Ho ; Park, Kang Ryoung ; Rhee, Dae Woong
Author_Institution
Dept. of Comput. Sci., Sangmyung Univ., Seoul, South Korea
fYear
2005
fDate
23-25 May 2005
Firstpage
254
Lastpage
259
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.
Keywords
biometrics (access control); cellular radio; eye; image recognition; real-time systems; security of data; bank transaction service; biometrics; cellular phone; corneal specular reflection; iris recognition; pupil localization; real-time iris localization; security; Biometrics; Brightness; Cellular phones; Face detection; Face recognition; Fingerprint recognition; Iris recognition; Reflection; Security; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2005 and First ACIS International Workshop on Self-Assembling Wireless Networks. SNPD/SAWN 2005. Sixth International Conference on
Print_ISBN
0-7695-2294-7
Type
conf
DOI
10.1109/SNPD-SAWN.2005.62
Filename
1434897
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