A new mathematical modelling based shape extraction technique for Forensic Odontology
Abstract Forensic Odontology is a specific means for identifying a person in which deceased, and particularly in fatality incidents. The algorithm can be proposed to identify a person by comparing both postmortem (PM) and antemortem (AM) dental radiographs and photographs. This work aims to introduc...
Gespeichert in:
| Veröffentlicht in: | Journal of forensic and legal medicine 2017-04, Vol.47, p.39-45 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 45 |
|---|---|
| container_issue | |
| container_start_page | 39 |
| container_title | Journal of forensic and legal medicine |
| container_volume | 47 |
| creator | Jaffino, G Banumathi, A Gurunathan, Ulaganathan Vijayakumari, B Prabin Jose, J |
| description | Abstract Forensic Odontology is a specific means for identifying a person in which deceased, and particularly in fatality incidents. The algorithm can be proposed to identify a person by comparing both postmortem (PM) and antemortem (AM) dental radiographs and photographs. This work aims to introduce a new mathematical algorithm for photographs in addition with radiographs. Isoperimetric graph partitioning method is used to extract the shape of dental images in forensic identification. Shape matching is done by comparing AM and PM dental images using both similarity and distance measures. Experimental results prove that the higher matching distance is observed by distance metric rather than similarity measures. The results of this algorithm show that a high hit rate is observed for distance based performance measures and it is well suited for forensic odontologist to identify a person. |
| doi_str_mv | 10.1016/j.jflm.2017.02.006 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1876500532</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S1752928X17300203</els_id><sourcerecordid>1876500532</sourcerecordid><originalsourceid>FETCH-LOGICAL-c411t-14b19bca7fe5ca295a73986085ef4963a1084460dd2db7e1ce07dcced353bb843</originalsourceid><addsrcrecordid>eNp9kUFv1DAQhS0EoqXwBzggH7kkjO0kdiSEVFUUkCr1AJW4WY496Tok9mJngf33ONrCgQMXjw_vPb35hpCXDGoGrHsz1dM4LzUHJmvgNUD3iJwzJVUlGyUfl79sedVz9fWMPMt5AmgbLtun5IwrLlUj5Dm5u6QBf9LFrDssj7dmpkt0OM8-3NPBZHQ078weKf5ak7Grj4GuaHfBfz8gHWOi1zFhyN7SWxfDGud4f3xOnoxmzvjiYV6Qu-v3X64-Vje3Hz5dXd5UtmFsrVgzsH6wRo7YWsP71kjRqw5Ui2PTd8IwUE3TgXPcDRKZRZDOWnSiFcNQFrggr0-5-xRLnbzqxWdbypuA8ZB1gdG1ZW3Bi5SfpDbFnBOOep_8YtJRM9AbTj3pDafecGrguuAsplcP-YdhQffX8odfEbw9CbBs-cNj0tl6DKWiT2hX7aL_f_67f-y2cN-O8A2PmKd4SKHw00znYtCft4Nu92RSAHAQ4jf4A5xX</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1876500532</pqid></control><display><type>article</type><title>A new mathematical modelling based shape extraction technique for Forensic Odontology</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Jaffino, G ; Banumathi, A ; Gurunathan, Ulaganathan ; Vijayakumari, B ; Prabin Jose, J</creator><creatorcontrib>Jaffino, G ; Banumathi, A ; Gurunathan, Ulaganathan ; Vijayakumari, B ; Prabin Jose, J</creatorcontrib><description>Abstract Forensic Odontology is a specific means for identifying a person in which deceased, and particularly in fatality incidents. The algorithm can be proposed to identify a person by comparing both postmortem (PM) and antemortem (AM) dental radiographs and photographs. This work aims to introduce a new mathematical algorithm for photographs in addition with radiographs. Isoperimetric graph partitioning method is used to extract the shape of dental images in forensic identification. Shape matching is done by comparing AM and PM dental images using both similarity and distance measures. Experimental results prove that the higher matching distance is observed by distance metric rather than similarity measures. The results of this algorithm show that a high hit rate is observed for distance based performance measures and it is well suited for forensic odontologist to identify a person.</description><identifier>ISSN: 1752-928X</identifier><identifier>EISSN: 1878-7487</identifier><identifier>DOI: 10.1016/j.jflm.2017.02.006</identifier><identifier>PMID: 28278437</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Algorithms ; CMC curve ; Dental photographs ; Dental radiographs ; Distance measure ; Forensic Dentistry - methods ; Humans ; Image Processing, Computer-Assisted ; Models, Theoretical ; Pathology ; Person identification ; Photography, Dental ; Radiography, Dental ; Similarity measure</subject><ispartof>Journal of forensic and legal medicine, 2017-04, Vol.47, p.39-45</ispartof><rights>2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine</rights><rights>Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-14b19bca7fe5ca295a73986085ef4963a1084460dd2db7e1ce07dcced353bb843</citedby><cites>FETCH-LOGICAL-c411t-14b19bca7fe5ca295a73986085ef4963a1084460dd2db7e1ce07dcced353bb843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1752928X17300203$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28278437$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jaffino, G</creatorcontrib><creatorcontrib>Banumathi, A</creatorcontrib><creatorcontrib>Gurunathan, Ulaganathan</creatorcontrib><creatorcontrib>Vijayakumari, B</creatorcontrib><creatorcontrib>Prabin Jose, J</creatorcontrib><title>A new mathematical modelling based shape extraction technique for Forensic Odontology</title><title>Journal of forensic and legal medicine</title><addtitle>J Forensic Leg Med</addtitle><description>Abstract Forensic Odontology is a specific means for identifying a person in which deceased, and particularly in fatality incidents. The algorithm can be proposed to identify a person by comparing both postmortem (PM) and antemortem (AM) dental radiographs and photographs. This work aims to introduce a new mathematical algorithm for photographs in addition with radiographs. Isoperimetric graph partitioning method is used to extract the shape of dental images in forensic identification. Shape matching is done by comparing AM and PM dental images using both similarity and distance measures. Experimental results prove that the higher matching distance is observed by distance metric rather than similarity measures. The results of this algorithm show that a high hit rate is observed for distance based performance measures and it is well suited for forensic odontologist to identify a person.</description><subject>Algorithms</subject><subject>CMC curve</subject><subject>Dental photographs</subject><subject>Dental radiographs</subject><subject>Distance measure</subject><subject>Forensic Dentistry - methods</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Models, Theoretical</subject><subject>Pathology</subject><subject>Person identification</subject><subject>Photography, Dental</subject><subject>Radiography, Dental</subject><subject>Similarity measure</subject><issn>1752-928X</issn><issn>1878-7487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUFv1DAQhS0EoqXwBzggH7kkjO0kdiSEVFUUkCr1AJW4WY496Tok9mJngf33ONrCgQMXjw_vPb35hpCXDGoGrHsz1dM4LzUHJmvgNUD3iJwzJVUlGyUfl79sedVz9fWMPMt5AmgbLtun5IwrLlUj5Dm5u6QBf9LFrDssj7dmpkt0OM8-3NPBZHQ078weKf5ak7Grj4GuaHfBfz8gHWOi1zFhyN7SWxfDGud4f3xOnoxmzvjiYV6Qu-v3X64-Vje3Hz5dXd5UtmFsrVgzsH6wRo7YWsP71kjRqw5Ui2PTd8IwUE3TgXPcDRKZRZDOWnSiFcNQFrggr0-5-xRLnbzqxWdbypuA8ZB1gdG1ZW3Bi5SfpDbFnBOOep_8YtJRM9AbTj3pDafecGrguuAsplcP-YdhQffX8odfEbw9CbBs-cNj0tl6DKWiT2hX7aL_f_67f-y2cN-O8A2PmKd4SKHw00znYtCft4Nu92RSAHAQ4jf4A5xX</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Jaffino, G</creator><creator>Banumathi, A</creator><creator>Gurunathan, Ulaganathan</creator><creator>Vijayakumari, B</creator><creator>Prabin Jose, J</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20170401</creationdate><title>A new mathematical modelling based shape extraction technique for Forensic Odontology</title><author>Jaffino, G ; Banumathi, A ; Gurunathan, Ulaganathan ; Vijayakumari, B ; Prabin Jose, J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-14b19bca7fe5ca295a73986085ef4963a1084460dd2db7e1ce07dcced353bb843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>CMC curve</topic><topic>Dental photographs</topic><topic>Dental radiographs</topic><topic>Distance measure</topic><topic>Forensic Dentistry - methods</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Models, Theoretical</topic><topic>Pathology</topic><topic>Person identification</topic><topic>Photography, Dental</topic><topic>Radiography, Dental</topic><topic>Similarity measure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jaffino, G</creatorcontrib><creatorcontrib>Banumathi, A</creatorcontrib><creatorcontrib>Gurunathan, Ulaganathan</creatorcontrib><creatorcontrib>Vijayakumari, B</creatorcontrib><creatorcontrib>Prabin Jose, J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of forensic and legal medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jaffino, G</au><au>Banumathi, A</au><au>Gurunathan, Ulaganathan</au><au>Vijayakumari, B</au><au>Prabin Jose, J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new mathematical modelling based shape extraction technique for Forensic Odontology</atitle><jtitle>Journal of forensic and legal medicine</jtitle><addtitle>J Forensic Leg Med</addtitle><date>2017-04-01</date><risdate>2017</risdate><volume>47</volume><spage>39</spage><epage>45</epage><pages>39-45</pages><issn>1752-928X</issn><eissn>1878-7487</eissn><abstract>Abstract Forensic Odontology is a specific means for identifying a person in which deceased, and particularly in fatality incidents. The algorithm can be proposed to identify a person by comparing both postmortem (PM) and antemortem (AM) dental radiographs and photographs. This work aims to introduce a new mathematical algorithm for photographs in addition with radiographs. Isoperimetric graph partitioning method is used to extract the shape of dental images in forensic identification. Shape matching is done by comparing AM and PM dental images using both similarity and distance measures. Experimental results prove that the higher matching distance is observed by distance metric rather than similarity measures. The results of this algorithm show that a high hit rate is observed for distance based performance measures and it is well suited for forensic odontologist to identify a person.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>28278437</pmid><doi>10.1016/j.jflm.2017.02.006</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1752-928X |
| ispartof | Journal of forensic and legal medicine, 2017-04, Vol.47, p.39-45 |
| issn | 1752-928X 1878-7487 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1876500532 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Algorithms CMC curve Dental photographs Dental radiographs Distance measure Forensic Dentistry - methods Humans Image Processing, Computer-Assisted Models, Theoretical Pathology Person identification Photography, Dental Radiography, Dental Similarity measure |
| title | A new mathematical modelling based shape extraction technique for Forensic Odontology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T07%3A55%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20new%20mathematical%20modelling%20based%20shape%20extraction%20technique%20for%20Forensic%20Odontology&rft.jtitle=Journal%20of%20forensic%20and%20legal%20medicine&rft.au=Jaffino,%20G&rft.date=2017-04-01&rft.volume=47&rft.spage=39&rft.epage=45&rft.pages=39-45&rft.issn=1752-928X&rft.eissn=1878-7487&rft_id=info:doi/10.1016/j.jflm.2017.02.006&rft_dat=%3Cproquest_cross%3E1876500532%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1876500532&rft_id=info:pmid/28278437&rft_els_id=1_s2_0_S1752928X17300203&rfr_iscdi=true |