Stochastic model based approach for biometric identification

Mofakharul Islam, Sitalakshmi Venkataraman, Mamoun Alazab

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Abstract

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 Gaussian mixture model using Expectation-Minimization (EM) algorithm within the Bayesian framework. Our new algorithm captures the pixel intensity by the likelihood term in Bayesian Networks, and a priori biasing term of the spatial location information with the help of Markov Random Fields (MRF) model. We have employed a novel approach of using Daubechies wavelet transform for texture feature extraction that uses MRF model and a robust technique of determining the number of pixel classes based on Cluster Ensembles for a reliable segmentation of dental X-ray images. We present how our approach could be applied in dental biometrics to achieve very fast and reliable human identification. Experiments show that our new unsupervised image segmentation technique provides accurate feature extraction and teeth segmentation for effective biometric identification.

Original languageEnglish
Title of host publicationTechnological Developments in Networking, Education and Automation
EditorsKhaled Elleithy, Tarek Sobh, Magued Iskander, Vikram Kapila, Mohammad A. Karim, Ausif Mahmood
Place of PublicationDordrecht; Heidelberg
PublisherSpringer, Springer Nature
Pages303-308
Number of pages6
ISBN (Electronic)9789048191512
ISBN (Print)9789048191505
DOIs
Publication statusPublished - 2010
Event2009 Int. Conf. on Telecommunications and Networking, TENE 2009, EIAE 2009, and IETA 2009, Part of the Int. Jt. Conf. on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009 -
Duration: 4 Dec 200912 Dec 2009

Other

Other2009 Int. Conf. on Telecommunications and Networking, TENE 2009, EIAE 2009, and IETA 2009, Part of the Int. Jt. Conf. on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009
Period4/12/0912/12/09

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