Multilevel Network protection Based on Palm Print Biometric Bansal Gaurav1, Bala Rajni2 1PTU GZS Campus, Bathinda, Punjab, India. gauravbfcet88@gmail.com 2SLIET, Longwall, Punjab, India. rajnigarg77@gmail.com Online published on 27 June, 2017. Abstract The modern engineering era is challenging reliable and cost-effective personal verification systems for a wide range of daily use applications such as access control. Network protection and safety of data have been of great anxiety and a subject of research over the years. There are many different forms of cryptographic mechanisms like Triple DES, AES, MD5 proposed to guarantee data security. In an arrangement, the success of the algorithm depends on the time taken of the key that user uses. It is observed that due to expediency of remembering the key, users use short keys. This increases the weakness of the data. In this paper we propose an exceptional confirmation and encryption technique using PALM biometric pattern of a person. At the time of registration to the network, a person's PALM is scanned and create templates of the image are generated using Vision Assistant 2009. Server stores this key Palm template as users Identity or password. To transfer data to another user, first Palm pattern is generated, it is sent to the server, server authenticates the user by comparing the incoming Palm code with the one saved in database by using Vision script file is create. A long time ago valid, user is allowed to swap information over the network. Every information is now be encrypted using the receivers Palm template. The success of the technique depends upon the pattern matching score is maximum generated. This paper presents a fast and efficient Palm image enhancement algorithm. A database of Palm print images has been collected from CASIA standard database different individuals. This method was tested on all these images in the database using the NI Vision Assistant 2009 and NI LabVIEW (Laboratory Virtual Instrument Engineering Workbench) toolbox version 2009. Top Keywords Biometrics, Palm data base, image pre-processing, NI Vision Assistant 2009, NI LabVIEW 2009. Top |