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Dental Biometrics for Human Identification using Bag of Features

Deepak Pandey1 , Amit Yerpude2 , Toran Verma3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 167-173, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.167173

Online published on Jun 30, 2018

Copyright © Deepak Pandey, Amit Yerpude, Toran Verma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Deepak Pandey, Amit Yerpude, Toran Verma, “Dental Biometrics for Human Identification using Bag of Features,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.167-173, 2018.

MLA Style Citation: Deepak Pandey, Amit Yerpude, Toran Verma "Dental Biometrics for Human Identification using Bag of Features." International Journal of Computer Sciences and Engineering 6.6 (2018): 167-173.

APA Style Citation: Deepak Pandey, Amit Yerpude, Toran Verma, (2018). Dental Biometrics for Human Identification using Bag of Features. International Journal of Computer Sciences and Engineering, 6(6), 167-173.

BibTex Style Citation:
@article{Pandey_2018,
author = {Deepak Pandey, Amit Yerpude, Toran Verma},
title = {Dental Biometrics for Human Identification using Bag of Features},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {167-173},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2157},
doi = {https://doi.org/10.26438/ijcse/v6i6.167173}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.167173}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2157
TI - Dental Biometrics for Human Identification using Bag of Features
T2 - International Journal of Computer Sciences and Engineering
AU - Deepak Pandey, Amit Yerpude, Toran Verma
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 167-173
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Identification of human, based on dental records is one of the popular and emerging trends in Biometrics. An efficient technique to identify human based on their dental records using bag of features and multi-class Support Vector machine proposed in this paper. The dental images of 34 persons were collected using digital camera. The captured images were pre-processed, and SURF bag of features were extracted using image processing. The extracted SURF features are used to design Multi-class Support Vector Machine for human identification. The accuracy for human identification using dental features of proposed model is 98.85 percent for training data and 97.95 percent for testing data.

Key-Words / Index Term

Dental Biometrics, Bag of Features, Surf Feature, Multi-class SVM

References

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