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       XXV Annual Congress of the Iranian Society of Ophthalmology        بـیــست و پنجمین کنــگــره سـالیـانه انـجـمـن چـشـم پـزشـکی ایـــران
مقاله Abstract


Title: Retinal Identification Based on Density Clustering and Fuzzy Logic and Connecting This information to Electronic Health Record
Author(s): Mohammad hosein Ahour,Ebrahim Parcham, rana sorkhabi
Presentation Type: Oral
Subject: Posterior Segment and Uveitis
Others:
Presenting Author:
Name: Mohammad hosein Ahour
Affiliation :(optional) Assistant Prof. of Ophthalmology
E mail: mh.Ahoor@gmail.com
Phone: 4770545
Mobile: 09143112191
Purpose:

The identification of individuals using the retinal image

Methods:

The extraction of blood vessels based on density classification and identification is carried out according to the Fuzzy logic and then according to the performed operations of individual’s electronic health record

Results:

we presented a new combination approach for extracting the blood vessels by removing the noises through the density method and extracting the vessels through an adaptive filter. After the blood vessels extraction, they are saved in the medical file and finally the patient identification is done through the Fuzzy method, according to the retina

Conclusion:

The results indicate the strength of the proposed method from the vessel extraction accuracy and patient identification points of view.

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  - بـیــست و پنجمین کنــگــره سـالیـانه انـجـمـن چـشـم پـزشـکی ایـــران