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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Bibliographic Details
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
Description
Summary: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.