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
Link To Document :
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