Open AccessDetermination of Age using Traditional Techniques Such as Hand MRI, Face Recognition, Versus Building Neural Networks and Image Processing Techniques
Author(s) -
V C Dheeraj,
A Karthik Holla,
G Deeksha,
A Nishchitha,
G R Kishore
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c5442.029320
Subject(s) - computer science , artificial neural network , lagrange multiplier , identification (biology) , artificial intelligence , forensic odontology , image (mathematics) , dentistry , machine learning , computer vision , medicine , mathematics , mathematical optimization , botany , biology
, , , , Technological advancement in forensic imaging have tremendous flow on benefits to the professional practice of forensic anthropology, not only in respect of case-work analyses, but also in facilitating empirical research that has validated and improved existing, and introduced novels, methods. The detail contribution include the spatial features of a dental x-ray image in a dental featured database. Determining the additional information it solves the model by Lagrange multiplier. Functional neural networks developed progressively with age. In dentistry, clinical radiographs reverberate the intensity loss of an X-ray when being transmitted through the mandibular objects. Dental examination is one of the most important parameter that help us to identify the age of an individual. Teeth are known to aid in personal identification as well as in addition to the age determination as they are highly durable to resist the effect of reaction by chemical and other environmental factors.