A Machine Learning Access for Person Identification using Dental X-Ray Images | Zendy

Pratik Shiva Meshram | Zendy; Dhanashree Keshao Parate | Zendy; Chetan Bhairu Jawale | Zendy; Akshay Vyankat Yewate | Zendy; Netra Lokhande | Zendy

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A Machine Learning Access for Person Identification using Dental X-Ray Images

Author(s) -

Pratik Shiva Meshram,

Dhanashree Keshao Parate,

Chetan Bhairu Jawale,

Akshay Vyankat Yewate,

Netra Lokhande

Publication year - 2020

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.b3363.079220

Subject(s) - biometrics , identification (biology) , human body , radiography , computer science , face (sociological concept) , hand geometry , artificial intelligence , medicine , psychology , orthodontics , radiology , biology , social science , botany , sociology

Dental radiographs do a great deal of work on the evidence of criminal classification. Science deontology is used in crimes that deal with the evidence of a person’s separation related to dental exposure. Due to the advances in data design and the need to evaluate more cases by legal professionals, it is important to use a human evidence framework. Dental radiographs can be classified as biometric if there are no alternatives to body biometrics, for example, palm, finger, iris, face, leg print, and so on. The human body seen using dental radiographs is best under certain conditions when there are no biometric alternatives because the teeth and bones are treated like skin tissues and tissues found in the human body.

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