Person Identification based on dental records using Neural Networks
How it works?
- read an input dental xray image
- Use Yolo Object detection to detect teeth
- Extract the detected teeth and pass it on to a classifier written in Pytorch to obtain classified images.
- Now we have all the teeth extracted and correctly classified
- Using OpenCV try to match individual teeth with the existing data from the collected dataset
- Generate Class Scores to predict the person or generate a list of matching people and display their details.