Survey Paper on Hadoop- using a Biometric Technique &quotIris Recognition&quot

Iris recognition is an automated method of biometric identification. Now in current world most of the iris comparison systems uses sequential and parallel execution but when iris dataset is large i.e. Big Data then in that case it has certain deficiencies like speed, complexity of dividing data, handling large data and robustness. So we are implementing Iris recognition process using an open source technology known as Hadoop. Hadoop technology is based on most popular programming model used to handle big data i.e. MapReduce framework. Hadoop provides specific library for handling large number of images: Hadoop Image Processing Interface (HIPI) and it can be used to implement the proposed system. Hadoop Distributed File System (HDFS) is used to handle large data sets, by breaking it into blocks and replicating blocks on various machines in cluster. Template comparison is done independently on different blocks of data by various machines in parallel. Map/Reduce programming model is used for processing large data sets. Map/Reduce process the data in format. Iris database is stored in a text format. HIPI is a library for Hadoop's MapReduce framework that provides an API for performing image processing tasks in a distributed computing environment.