E-ISSN 1658-7073 | ISSN 1658-6638
 

Original Research 


Automated Dental Identification based on Orthogonal Locality Preserving Projection

Nourdin B. Alsherif, Guodong Guo, Hany H. Ammar.

Abstract
Major disasters have highlightedthe significance of automated dental identification systems. For example in the 9/11 attacks, many victims were identifiable only from pieces of their jaw bones. This is the main motivation for building the Automated Dental Identification System (ADIS). The archiving and retrieving processes of dental records from large databases is a challenging task and has received inadequate attention intheliterature. This paper presents a new technique for retrieving dental records for ADIS. Our approach consists of two main stages. The first stage is the preprocessing stage of the dental records that includes segmentation and teeth labeling classificationin order to obtain reliable appearance-based, low computational-cost features. In the second stage we propose a technique based on using the Orthogonal Locality Preserving projection algorithm to produce a candidate list. The experiment results show that the proposed approach provides fast and effective results to search and retrieve a list of candidates from the database compared to other approaches suggested in the literature.

Key words: Dental Identification;Teeth Appearance Based;LaplacianteethSpaces, Candidate List; Orthogonal LocalityPreservingProjections (OLPP); Potentional Match Search Componet.


 
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How to Cite this Article
Pubmed Style

Alsherif NB, Guo G, Ammar HH. Automated Dental Identification based on Orthogonal Locality Preserving Projection. JEAS. 2014; 1(1): 24-29. doi:10.12816/0004795


Web Style

Alsherif NB, Guo G, Ammar HH. Automated Dental Identification based on Orthogonal Locality Preserving Projection. http://jecasmu.org/?mno=91599 [Access: January 06, 2021]. doi:10.12816/0004795


AMA (American Medical Association) Style

Alsherif NB, Guo G, Ammar HH. Automated Dental Identification based on Orthogonal Locality Preserving Projection. JEAS. 2014; 1(1): 24-29. doi:10.12816/0004795



Vancouver/ICMJE Style

Alsherif NB, Guo G, Ammar HH. Automated Dental Identification based on Orthogonal Locality Preserving Projection. JEAS. (2014), [cited January 06, 2021]; 1(1): 24-29. doi:10.12816/0004795



Harvard Style

Alsherif, N. B., Guo, . G. & Ammar, . H. H. (2014) Automated Dental Identification based on Orthogonal Locality Preserving Projection. JEAS, 1 (1), 24-29. doi:10.12816/0004795



Turabian Style

Alsherif, Nourdin B., Guodong Guo, and Hany H. Ammar. 2014. Automated Dental Identification based on Orthogonal Locality Preserving Projection. Journal of Engineering and Applied Sciences, 1 (1), 24-29. doi:10.12816/0004795



Chicago Style

Alsherif, Nourdin B., Guodong Guo, and Hany H. Ammar. "Automated Dental Identification based on Orthogonal Locality Preserving Projection." Journal of Engineering and Applied Sciences 1 (2014), 24-29. doi:10.12816/0004795



MLA (The Modern Language Association) Style

Alsherif, Nourdin B., Guodong Guo, and Hany H. Ammar. "Automated Dental Identification based on Orthogonal Locality Preserving Projection." Journal of Engineering and Applied Sciences 1.1 (2014), 24-29. Print. doi:10.12816/0004795



APA (American Psychological Association) Style

Alsherif, N. B., Guo, . G. & Ammar, . H. H. (2014) Automated Dental Identification based on Orthogonal Locality Preserving Projection. Journal of Engineering and Applied Sciences, 1 (1), 24-29. doi:10.12816/0004795