Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India

Research Article

Bitemark Evidence in Forensic dentistry for Human Identification using deep learning technique

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  • @INPROCEEDINGS{10.4108/eai.16-4-2022.2318166,
        author={Sonali  Mohite and Bhavana  Narain},
        title={Bitemark Evidence in Forensic dentistry for Human Identification using deep learning technique},
        proceedings={Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India},
        publisher={EAI},
        proceedings_a={THEETAS},
        year={2022},
        month={6},
        keywords={odontology assaults bitemark non-accidental injuries cases dental impression matlab software},
        doi={10.4108/eai.16-4-2022.2318166}
    }
    
  • Sonali Mohite
    Bhavana Narain
    Year: 2022
    Bitemark Evidence in Forensic dentistry for Human Identification using deep learning technique
    THEETAS
    EAI
    DOI: 10.4108/eai.16-4-2022.2318166
Sonali Mohite1, Bhavana Narain2,*
  • 1: MSIT MATS University Raipur Chhattisgarh,Satara, India
  • 2: MATS School of I.T., MATS University, Pandari Campus Raipur, Chhattisgarh
*Contact email: narainbhawna@gmail.com

Abstract

This paper gives an idea about how the human bite mark is useful to predict mostly cases of assault for dental evidence particularly in NAI cases (Non -accidental Injury). The purpose of this study is to identify an individual by using bitemark at the crime site. Human bitemark are commonly found in child abuse cases, rape and rape homicide cases in many assaults. Bitemark is very important in forensic odontology for identification of deceased victims and also for crimes and accident. The intension of this study is to prepare a digital image processing software which will compare the suspected dental condition and bite marks present on assault and give confirmation of its identity in criminal cases. In traditional system, doctors observe the bite-mark and suspected dental condition. In this traditional way, investigation requires more time. But when using Digital Image processing software in future. Various image analysis technique such as Image Acquisition, Image pre-processing, Segmentation, Feature extraction etc. are used to identify human in lesser time. It can save the time of the investigation. In criminal court, Bitemark are counted as the most valuable form of dental evidence presented in rape cases.