Pixel

Process (computing)

Operating system

Economics

Computer science

Eye tracking on the ISS

Eye tracking

Physics

IRIS (biosensor)

Pupil

Optics

Management

Position (finance)

Human eye

Artificial intelligence

Finance

Center of gravity

Biometrics

Iris recognition

Computer vision

Journal of Computational and Theoretical Nanoscience

The pupil detection system plays a vital role in ophthalmology diagnosis equipments because pupil has a center place of human eye to locate the exact position. To identify the exact human eye pupil region in near infrared (NIR) images, this work proposes the Center of gravity method and its real time FPGA hardware implementation. The proposed work involves global threshold method to segment the pupil region from human eye and the bright spot suppression process removes the light reflections on the pupil due to the IR (Infra red) rays then the morphology dilation process removes unnecessary black pixels other than pupil region on the image. Finally, center of gravity (COG) method provides the exact pupil center coordinate and radius of the human eye. CASIA IRIS V4 and UBIRIS iris database images used in this work and achieved 90-95% of recognition rate.

Human Eye Pupil Detection System for Different IRIS Database Images