|National Conference on Recent Trends in Computing
|Foundation of Computer Science USA
|NCRTC - Number 3
|Authors: Madhavi Vaidya, Swati Sherekar
Madhavi Vaidya, Swati Sherekar . Study of Biometric Data Processing by Hadoop. National Conference on Recent Trends in Computing. NCRTC, 3 (May 2012), 26-31.
UID is being implemented in India providing valuable information of citizens. Various facilities are to be provided on the basis of that information to the masses. It will also reveal how it can be used for genuine identity of a person and thus improving security for various e-governance applications. In this paper idea of UID and authentication request types such as biometric have been studied. The use of Hadoop Architecture is suggested which can be used for studying the authentication request types such as biometric technique, as it is one of the strongest method of authentication. In Aadhaar Card System, Residents Photograph, Finger Prints and Iris recognition are collected. We have suggested how Hadoop, a distributed file system architecture can be used to develop this model. Hadoop implements Map/Reduce framework. Map/Reduce makes an easy task to process large amount of data on cloud or from various nodes where data is scattered.