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2018 | OriginalPaper | Buchkapitel

User Authentication System Using Multimodal Biometrics and MapReduce

verfasst von : Meghana A. Divakar, Megha P. Arakeri

Erschienen in: Information and Communication Technology for Sustainable Development

Verlag: Springer Singapore

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Abstract

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. Biometrics is the science of recognizing a person by evaluating the distinguished physiological and biological traits of the person. 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 in order to increase the security of the application. The proposed multimodal biometric system combines three biometric traits for individual authentication namely Face, Fingerprint, and Voice. MapReduce is the technique used for analyzing and processing big data sets that cannot fit into memory.

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Metadaten
Titel
User Authentication System Using Multimodal Biometrics and MapReduce
verfasst von
Meghana A. Divakar
Megha P. Arakeri
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-3920-1_8