2012
DOI: 10.1007/s10278-012-9492-4
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An Effective Dental Shape Extraction Algorithm Using Contour Information and Matching by Mahalanobis Distance

Abstract: Human identification using dental radiographs is important in biometrics. Dental radiographs are mainly helpful for individual and mass disaster identification. In the 2004 tsunami, dental records were proven as the primary identifier of victims. So, this work aims to produce an automatic person identification system with shape extraction and matching techniques. For shape extraction, the available information is edge details, structural content, salient points derived from contours and surfaces, and statistic… Show more

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Cited by 38 publications
(16 citation statements)
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“…The shape based matching can also be performed by Mahalanobis distance measure. A well-known distance measure which takes into account the covariance matrix is the Mahalanobis distance [11]. When comparing with Euclidean distance, this distance measure takes into the account the correlations of the dataset and is scale invariant.…”
Section: Distance Between the Neighboring Dwmentioning
confidence: 99%
“…The shape based matching can also be performed by Mahalanobis distance measure. A well-known distance measure which takes into account the covariance matrix is the Mahalanobis distance [11]. When comparing with Euclidean distance, this distance measure takes into the account the correlations of the dataset and is scale invariant.…”
Section: Distance Between the Neighboring Dwmentioning
confidence: 99%
“…C. K. Modi proposed feature extraction technique for dental X-ray image. Also the author suggested future work in the given system is finding a novel feature extraction technique which explores the geometry of teeth which remains inherently unique to each individual [3]. Shape extraction algorithm is developed using contour information and mahalanobis distance measure is done for matching dental records.…”
Section: Existing Systemsmentioning
confidence: 99%
“…Otsu algorithm works fine when x-ray images of teeth are under process. [4] Feature vector set normally consists of statistical features and that do not vary when the size or zoom in out effect may have presence on images. [5] Dental profile based biometrics is the most secure biometrics that remains safe and unchanged throughout the life and even after expiry of a person.…”
Section: Brief Literature Surveymentioning
confidence: 99%