Towards an Automated Dental Identification System (ADIS)

Fahmy, Gamal; Nassar, Diaa Eldin M.; Haj-Said, Eyad; Chen, Hong; Nomir, Omaima; Zhou, Jindan; Howell, Robert D.; Ammar, H.H.; Abdel-Mottaleb, Mohamed; Jain, Anil K.

doi:10.1007/978-3-540-25948-0_107

Cited by 45 publications

(31 citation statements)

References 4 publications

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“…The results obtained using this technique is compared with the semi-automatic contour extraction output. For person identification while matching [8,9] post mortem and antemortem images, better results may be expected by comparing a single tooth or a jaw instead of matching the whole image. The results shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Multiresolution wavelet-Fourier descriptors are used to classify the teeth sequence in multislice computed tomography images as proposed in [7]. Morphological filters like top hat and bottom filters are used for tooth segmentation [8]. Based on analyses of tooth anatomy and tooth growth direction, a dental radiograph segmentation algorithm was developed in [9].…”

Section: Introductionmentioning

confidence: 99%

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An Effective Dental Shape Extraction Algorithm Using Contour Information and Matching by Mahalanobis Distance

Pushparaj¹,

Ulaganathan²,

Vijayakumari³

2012

J Digit Imaging

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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 statistical moments. Out of all these features, tooth contour information is a suitable choice here because it can provide better matching. This proposed method consists of four stages. The first step is preprocessing. The second one involves integral intensity projection for segmenting upper jaw, lower jaw, and individual tooth separately. Using connected component labeling, shape extraction was done in the third stage. The outputs obtained from the previous stage for some misaligned images are not satisfactory. So, it is improved by fast connected component labeling. The fourth stage is calculating Mahalanobis distance measure as a means of matching dental records. The matching distance observed for this method is comparatively better when it is compared with the semi-automatic contour extraction method which is our earlier work.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective Dental Shape Extraction Algorithm Using Contour Information and Matching by Mahalanobis Distance

Pushparaj¹,

Ulaganathan²,

Vijayakumari³

2012

J Digit Imaging

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“…A única dúvida que permanece na utilização dessa nova tecnologia é a de qual limite entre as melhorias na imagem e alteração acidental ou deliberada dos registros. Fahmy et al (2004) também relatam que a identificação através de radiografias vem sendo utilizada há décadas, porem os materiais utilizados recentemente para restaurações e a diminuição significativa da incidência de tratamentos odontológicos, leva os peritos a tomar a morfologia bucal, raízes, coroas e outros aspectos, como sendo um fator mais decisivo na comparação dos registros radiográficos.…”

Section: Técnicas De Identificação Humana Por Radiografias Odontológiunclassified

“…Como característica da melhora da higiene e da própria Odontologia preventiva, se tornou comum, principalmente entre os mais jovens, não apresentar qualquer restauração, fato que vem diminuindo as disponibilidades de registros ante-mortem Valenzuela et al, 2000;Fahmy et al, 2004;Wood, 2006). Toda via essa facilidade de acesso ao tratamento odontológico aumentou o número de outras intervenções não restauradoras, como a ortodontia, que frequentemente é caracteriza pela realização de radiografias diversas e documentações.…”

Section: Radiografias Panorâmicasunclassified

“…As imagens devem ser comparadas e para isso o formato das eventuais restaurações, próteses e o comprimento dos tratamentos endodônticos devem ser delimitados assim como a anatomia radicular e das estruturas periodontais, que podem prestar grande ajuda nos casos, cada vez mais frequentes, de pacientes com poucas ou nenhuma restauração (Sholl;Moody, 2001;Fahmy et al, 2004;Wood, 2006).…”

Section: Perícias Com Apresentação De Registros Ante-mortemunclassified

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Padronização das tomadas radiográficas periapicais e panorâmicas com finalidade forense

Beaini¹

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Fast and Accurate Segmentation of Dental X-Ray Records

Abaza

Nassar

et al. 2005

Advances in Biometrics

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Identification of deceased individuals based on dental characteristics is receiving increased attention. Dental radiographic films of an individual are usually composed into a digital image record. In order to achieve high level of automation in postmortem identification, it is necessary to decompose dental image records into their constituent radiographic films, which are in turn segmented to localize dental regions of interest. In this paper we offer an automatic hierarchical treatment to the problem of cropping dental image records into films. Our approach is heavily based on concepts of mathematical morphology and shape analysis. Among the many challenges we face are non-standard assortments of films into records, variability in record digitization as well as randomness of record background both in intensity and texture. We show by experimental evidence that our approach achieves high accuracy and timeliness.

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Towards an Automated Dental Identification System (ADIS)

Cited by 45 publications

References 4 publications

An Effective Dental Shape Extraction Algorithm Using Contour Information and Matching by Mahalanobis Distance

An Effective Dental Shape Extraction Algorithm Using Contour Information and Matching by Mahalanobis Distance

Padronização das tomadas radiográficas periapicais e panorâmicas com finalidade forense

Fast and Accurate Segmentation of Dental X-Ray Records

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