Privacy Threat Reduction Using Modified Multi-line Code Generation Algorithm (MMLCGA) for Cancelable Biometric Technique (CBT)

Nowadays individual’s identity verification is required at many places for authenticity like Government Sector, Private sector, Public Sector etc. Many existing systems are based on either physical documents or on biometric parameters. Biometric system has become a more convenient way for authenticity check. In biometric system, some samples of biometric parameters are collected and stored at the server side for further use. These samples would be used for the verification of the identity of the person. The actual required biometric parameter will be compared with all the existing samples available in the system to match with the registered person. If it matches with one of the existing sample, then that will be authenticated by the system and allowed to perform further operations. But what if, the samples collected by the authority get misused? That needs security from the owner of the system. So, the identity of the samples must be hidden from the operators by some way, which has been focused in this work. A new approach called as Cancelable Biometric Technique (CBT) using Modified Multi-Line Code Generation Algorithm (MMLCGA) is used for storing biometric samples using template. The cancelable method converts the gathered samples and stores it into the system for hiding its original identity. In the verification phase, the system will convert it back to the original sample to be used for identity matching of the person or user. This technique provides more privacy, because of which privacy threats can be reduced. The time and accuracy of the proposed technique is better by 15% and 1.4% respectively, when compared to the existing technique Multi-Line Code Generation Algorithm (MLCGA).