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An Efficient Method for Extracting the Necessary Features in a Multimodal Biometrics
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1197.0782s419
Subject(s) - computer science , preprocessor , biometrics , artificial intelligence , process (computing) , face (sociological concept) , fingerprint (computing) , image (mathematics) , pattern recognition (psychology) , computer vision , social science , sociology , operating system
Identifying the person using the unique textures of face, ear and fingerprint can be extracted very swiftly during the recognition process. Preprocessing the acquired image and extracting the necessary features from the preprocessed image are very important for any image based applications. The success of the process is entirely depending on the conflux rate and efficiency of such techniques. But, because of the negligence of the implication of these techniques results in the failure of the process. In this paper, appropriate pre-processing techniques are identified to extract the necessary features from the images for better performance

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