DocumentCode :
3763517
Title :
Palm-print recognition for authentication on smartphones
Author :
Hossein Javidnia;Adrian Ungureanu;Peter Corcoran
Author_Institution :
Department of Electronic and Electrical Engineering, College of Engineering, National University of Ireland, Galway
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
In a world where smart phones are becoming ubiquitous and are more powerful than ever, security is becoming an issue. Equipped with good cameras, smart phones are prime candidates for software designed to recognize objects and people around them. By recognizing biometric patterns such as the face, palm-prints or hand knuckles, smart phones can heighten security standards. Depending on the intended action, specific security requirements should be met. For instance, bank services need a reliable authentication system, whereas unlocking a device can use a lower security feature. For this perspective we are working on a database of palm-prints that have only been acquired using smart phones to verify their users´ identity and also designing an authentication system based on these results to be used on smartphones.
Keywords :
"Feature extraction","Skin","Smart phones","Image color analysis","Authentication","Databases"
Publisher :
ieee
Conference_Titel :
Technology and Society (ISTAS), 2015 IEEE International Symposium on
Electronic_ISBN :
2158-3412
Type :
conf
DOI :
10.1109/ISTAS.2015.7439441
Filename :
7439441
Link To Document :
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