NDLI: Human identification using dental biometric analysis

Content Provider	IEEE Xplore Digital Library
Author	Rehman, F. Akram, M.U. Faraz, K. Riaz, N.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan (Akram, M.U.) \|\| Dept. of Mechatron. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan (Rehman, F.; Faraz, K.; Riaz, N.)
Abstract	Human identification is becoming one of the major worldwide issue now a days. Dental biometrics is the leading biometric technique to identify individuals on the basis of their dental characteristics. Dental Features of persons are naturally unique. They can be used to authenticate humans exactly or almost to the maximum possible similarity. In this paper, we present an efficient workable method to authenticate humans correctly and identify them properly, which is based on dental work information extracted out from dental data. The method we have proposed here comprises of five main processing stages; the initial stage is pre-processing, i.e. initial work on dental data then the Segmentation step, i.e. getting the relevant part of dental data and other processing steps in segmentation. Then Features extraction is performed on segmented images and finally biometric analysis is done which is the most important step for matching. The method is tested on two databases i.e. dental radiographs and colored teeth images and the results are highly encouraging. The data set comprises dental radiographs of 14 persons and colored teeth images of 45 persons. An Equal Error Rate (EER) of 85.7% dental radiographs and 88.8% for colored teeth images found on matching the performance of our dental biometric analysis, which shows highly accuracy using our proposed methodology on the data set.
Starting Page	96
Ending Page	100
File Size	708582
Page Count	5
File Format	PDF
e-ISBN	9781479941292
DOI	10.1109/DICTAP.2015.7113178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-29
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Radiography Matching Image segmentation Equal Error Rate Biometrics (access control) Dental Radiograph Teeth Feature extraction Dentistry Dental biometric analysis
Content Type	Text
Resource Type	Article

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