Abstract
In forensic odontology, the challenging task is to identity the decomposed and severely burnt corpse of individual person. In such a situation, dental records have been used as a prime tool for forensic identification. The main goal of this work, by comparing the analysis of contour shape extraction and texture feature extraction for both radiographic and photographic images, is used to identify a person. In this work, contourlet transform is used as a contour shape extraction; Local Binary Pattern (LBP), Center-Symmetric Local Binary Pattern (CS-LBP) are used as texture features. Both AM and PM images are used to identify the person more accurately by comparing different matching algorithms. In order to salvage better matching performance, Cumulative Matching Curve (CMC) is used for both radiographic and photographic images. Better matching is observed for radiographic images than photographic images by Hit rate performance metrics.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
I. Janajreh, S. Syed, R. Qudaih, I. Talab.Solar Assisted Gasification: Systematic Analysis and Numerical Simulation. Int. J. Thermal & Environmental Engineering 2010;1:81-90,DOI: https://doi.org/10.5383/ijtee.01.02.004
Haik, Y: Engineering Design Process. Pacific Grove: Brooks/Cole, 2003
Toukourou NM, Gakwaya B, Yazdani JJ. An object-oriented finite element implementation of large deformation frictional contact problems and applications. Proceedings of the 1st MIT conference on CFSM. Cambridge, MA, 2001.DOI: https://doi.org/10.5383/mitcfsm.010005084
OcceelliV, Tadrict W, Raddev H. Disintegration of cylindrical liquid columns in liquid-fluid systems: direct numerical simulation. In: Schmitt A (Ed), Dynamics of Multiphase Flows. across Interfaces. Springer-Verlag, 2006, pp. 21-60
Peky GK. X-Analysis Integration (XAI) Technology. Virginia Tech Report EL002-2000A, March 2010
Kumar D. Modeling and Representation to Support Design-Analysis Integration. Master Thesis, Department of Civil Engineering, Indian Institute of Technology; 2009. [1] David R.Senn and Paul G Stimson,”Forensic Dentistry”, CRC Press, 2010
Anil K.Jain and Hong Chen,”Matching of Dental X-ray images for human identification”, Pattern Recognition, vol.37, pp.1519-1532, 2004
Hong Chen and Anil.K.Jain,” Dental biometrics: Alignment and matching of dental radiographs”, IEEE Transactions Pattern Analysis Machine Intelligence, vol.27, Issue.8, pp.1319-1326, 2005
Samir Shah, Ayman Abaza, Arun Ross and Hany Ammar,” Automatic tooth segmentation using Active Contour without edges”, IEEE Biometrics Symposium, 2006
Banumathi.A, Vijayakumari.B, Geetha.A, Shanmugavadivelu.N and Raju.S,”Performance Analysis of various techniques applied in Human Identification using Dental images”, Journal of Medical Systems, vol.31, No.3, pp.210-218, 2007
O.Nomir and Mohamed Abdel- Mottaleb,” Human Identification from dental X-ray images based on shape and appearance of the teeth”, IEEE Transactions on Information and Security, vol.2, No.2, pp.188-197, 2007
Hofer.M and Marana.AN,” Dental Biometrics: Human Identification based on Dental work information”, IEEE Brazilian Symposium on Computer graphics and Image Processing, pp.1530-1834, 2007.
PhenLan Lin, Yan Hao Lai, Po Whei Huang,” Dental biometrics: Human Identification based on teeth and dental works in bitewing radiographs”, Pattern Recognition, vol.45, pp.934-946, 2012
Vijayakumari pushparaj, UlaganathanGurunathan and BanumathiArumugam,”An Effective shape extraction algorithm using contour information and Matching by Mahalanobis distance”, J Digital Imaging, June 2012
OmaimaNomir and Mohamed Abdel Mottaleb,”Hierarchical Contour matching for dental radiographs”, Pattern Recognition, vol.41, pp.130-138, 2008
Minh. N.Do and Martin Vetterli,”The Contourlet Transform:An Efficient Directional Multiresolution Image Representation”, IEEE Transactions on Image Processing,vol.14, issue.12, pp.2091-2106, 2005
Truong T. Nguyen and SoontornOraintara,” Multi resolution Direction filter banks: Theory, Design and Applications”, IEEE Transactions on Signal Processing, Vol.53, No.10, 2005
Anupa Maria Sabu,D.NarainPonraj and Poongodi,”Textural features based breast cancer detection: A Survey”, Journal of Emerging Treads in computing and Information Sciences, vol.3,No.9,pp.1329-1334, 2012
Weszka, JS Dyer and Rosenfeld,” A comparative study of texture measures for terrain classification”, IEEE Transactions on systems, man and cybernetics, vol.6, No.4, pp.269-285, 1976
Younis.K,Karim.M,Hardie.R,Loomis.J,Rogers.S and Desimio.M,”Cluster merging based on weighted Mahalanobis distance with application in digital mammograph”,IEEE conference of Aerospace and Electronics, 1998
Acknowledgements
The authors would like to thank the management of Aditya College of Engineering, Andhra Pradesh and also extend our thanks to Department of ECE, Kamaraj College of Engineering & Technology, Virudhunagar, Tamilnadu, for providing all the facilities to carry out this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jaffino, G., Jose, J.P., Sundaram, M. (2021). Contour and Texture-Based Approaches for Dental Radiographic and Photographic Images in Forensic Identification. In: Laxminidhi, T., Singhai, J., Patri, S.R., Mani, V.V. (eds) Advances in Communications, Signal Processing, and VLSI. Lecture Notes in Electrical Engineering, vol 722. Springer, Singapore. https://doi.org/10.1007/978-981-33-4058-9_20
Download citation
DOI: https://doi.org/10.1007/978-981-33-4058-9_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4057-2
Online ISBN: 978-981-33-4058-9
eBook Packages: EngineeringEngineering (R0)