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Stochastic model based approach for biometric identification

Islam, Mofakharul; Venkataraman, Sitalakshimi; Alazab, Mamoun

Description

In this paper, we present a new stochastic model based approach for enhanced image segmentation in biometric identification systems. Biometric features such as fingerprint, face, iris, hand geometry and more recently dental features are being used for human identification. Image analysis of each of these biometric features has various challenges to overcome. To address such contemporary problems of image segmentation, we provide a novel approach based on maximum a posteriori (MAP) fitting...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
URI: http://hdl.handle.net/1885/74661
Source: Technological Developments in Networking, Education and Automation
DOI: 10.1007/978-90-481-9151-2-53

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