Multimodal biometric system using index based algorithm for fast search

Establishing the identity of a person with the use of individual biometric features has become the need for the present technologically advancing world. Due to rise in data thefts and identity hijacking, there is a critical need for providing user security using biometric authentication techniques. A unimodal biometric system is known to have many disadvantages with regard to accuracy, reliability and security. Multimodal biometric systems combine more than one biometric trait to identify a person for enhanced security. The proposed Multimodal biometric system combines three biometric traits for individual authentication namely Face, Fingerprint and Voice and implements indexing algorithm for faster searching and recognition of a person. The fuzzy nature of biometric data and the presence of varied degree of dimensionality hinder present search algorithms depending on sorting. Index based algorithm is used to reduce the search time and also to improve the speed and performance of multimodal biometric system. MapReduce is used for analyzing and processing big data sets that cannot fit into memory.