Identify tooth cone beam computed tomography based on contourlet particle swarm optimization

<p>In this paper certain type of biometric measurements has been used to identify the cone beam computed tomography (CBCT) radiograph subject in a fast and reliable way. Where CBCT person is as data stored database for later use person’s recognition process. The aim research various stages preprocessing operations obtain clearest possible image that will help us identification process more easily precisely. contourlet transformation was feature extraction each particular results were processed by new hybrid particle swarm optimization (PSO) named "contourlet PSO" algorithm (CPSO), which faster produce precise (due apply algorithm) than traditional PSO. proposed (CPSO) gave detection ratio 98% after its application on 100 radiographs.</p>