Bite mark identification using neural networks: A preliminary study

Bite mark identification using neural networks: A preliminary study

Forensic dentistry generally addresses the problem of identifying individuals based on the some specific characteristics of teeth or bite mark impressions. Bite mark identification process generally involves human interaction and has human bias. It would be beneficial to have a system that reduces h...

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Main Authors: Mahasantipiya P.M., Yeesarapat U., Suriyadet T., Sricharoen J., Dumrongwanich A., Thaiupathump T.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-79960572166&partnerID=40&md5=48451537b67983838909ce57f412ed2b
http://cmuir.cmu.ac.th/handle/6653943832/1558
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-15582014-08-29T09:29:27Z Bite mark identification using neural networks: A preliminary study Mahasantipiya P.M. Yeesarapat U. Suriyadet T. Sricharoen J. Dumrongwanich A. Thaiupathump T. Forensic dentistry generally addresses the problem of identifying individuals based on the some specific characteristics of teeth or bite mark impressions. Bite mark identification process generally involves human interaction and has human bias. It would be beneficial to have a system that reduces human bias and has high accuracy matching performance. This paper describes a preliminary study to verify the effectiveness of applying the neural network approach in bite mark identification. By selecting some specific features of the bite marks for the model, trained networks give reasonable result for the matching accuracy in this initial study. 2014-08-29T09:29:27Z 2014-08-29T09:29:27Z 2011 Conference Paper 9.78988E+12 85583 http://www.scopus.com/inward/record.url?eid=2-s2.0-79960572166&partnerID=40&md5=48451537b67983838909ce57f412ed2b http://cmuir.cmu.ac.th/handle/6653943832/1558 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description Forensic dentistry generally addresses the problem of identifying individuals based on the some specific characteristics of teeth or bite mark impressions. Bite mark identification process generally involves human interaction and has human bias. It would be beneficial to have a system that reduces human bias and has high accuracy matching performance. This paper describes a preliminary study to verify the effectiveness of applying the neural network approach in bite mark identification. By selecting some specific features of the bite marks for the model, trained networks give reasonable result for the matching accuracy in this initial study.
format Conference or Workshop Item
author Mahasantipiya P.M.
Yeesarapat U.
Suriyadet T.
Sricharoen J.
Dumrongwanich A.
Thaiupathump T.
spellingShingle Mahasantipiya P.M.
Yeesarapat U.
Suriyadet T.
Sricharoen J.
Dumrongwanich A.
Thaiupathump T.
Bite mark identification using neural networks: A preliminary study
author_facet Mahasantipiya P.M.
Yeesarapat U.
Suriyadet T.
Sricharoen J.
Dumrongwanich A.
Thaiupathump T.
author_sort Mahasantipiya P.M.
title Bite mark identification using neural networks: A preliminary study
title_short Bite mark identification using neural networks: A preliminary study
title_full Bite mark identification using neural networks: A preliminary study
title_fullStr Bite mark identification using neural networks: A preliminary study
title_full_unstemmed Bite mark identification using neural networks: A preliminary study
title_sort bite mark identification using neural networks: a preliminary study
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-79960572166&partnerID=40&md5=48451537b67983838909ce57f412ed2b
http://cmuir.cmu.ac.th/handle/6653943832/1558
_version_ 1681419692892225536

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