Human Eye Pupil Detection System for Different IRIS Database Images
| Autor: | S. Navaneethan, Dinesh Valluru, N. Nandhagopal, A. Parimala, V. Nivedita |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
genetic structures
020205 medical informatics business.industry Computer science 02 engineering and technology General Chemistry Condensed Matter Physics eye diseases Pupil 020202 computer hardware & architecture Computational Mathematics medicine.anatomical_structure 0202 electrical engineering electronic engineering information engineering medicine General Materials Science Computer vision Human eye sense organs Artificial intelligence Electrical and Electronic Engineering Iris (anatomy) business |
| Zdroj: | Journal of Computational and Theoretical Nanoscience. 18:1239-1242 |
| ISSN: | 1546-1955 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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