A Novel Approach for Pupil Diameter MeasurementBased on Soft Computing Techniques

In this paper, a hybrid approach for the pupildiameter (PD) measurement from the eye video is described. Theproposed algorithm is composed of five main stages; dataacquisition, pre-processing, edge detection, edge linking, anddiameter computation. In this approach, noise reduction isperformed using the type-1 fuzzy system, eye region is detectedusing the genetic algorithm (GA), and an effective procedure foredge detection based on a hybrid combination of interval type-2fuzzy logic system (IT2FS) and particle swarm optimization(PSO) is presented that PSO is used for parameters optimizationof IT2FS membership function. In order to evaluate theperformance of proposed algorithm, a pupil videos dataset isconstructed. The Proposed algorithm is tested on this dataset.The experimental results show that the combination of IT2FSand PSO can be considered as a good alternative for the edgedetection, and proposed approach can be considered as a generalmethod of pupil diameter measurement.

Keywords:

pupil diameter , interval type-2 fuzzy logic system , particle swarm optimization , genetic algorithm