Comparative Study on Methods for Teeth Image Recognition

Authors

  • D G patil Shri Sant Gadgebaba College of Engineering and Technology, Bhusawal, Maharashtra, 425203, India
  • N M patil Shri Sant Gadgebaba College of Engineering and Technology, Bhusawal, Maharashtra, 425203, India

DOI:

https://doi.org/10.37591/joipprp.v1i3.214

Keywords:

image recognition, Matlab, teeth image processing, teeth recognition

Abstract

This article proposes a new method to find a specific tooth from the digital picture of multiple teeth. The modified methods can significantly simplify the pattern recognition process for teeth. Here we compared some of the popular recognition method like principal component analysis (PCA) and hybrid differential method (HDM). These methods are lot more simple, runs faster and the identification rate is better. These approaches will reduce the traditional reliance on X-ray image to get information and make dental decision. It can be used in the dental decision making software to do preliminary dental advising for potential patients.

References

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Published

2014-12-09

Issue

Vol. 1 No. 3 (2014)

Section

Review Articles

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