Abstract
The uniqueness of the retina blood vessels pattern is the most accurate pattern among other biometric systems. In this paper, we present a new approach for human identification using retina recognition and fuzzy C-means clustering algorithm. This method is insensitive to rotation, rescaling and transformation. The Fourier-Mellin transform coefficients and moments of the retinal image have been used as features extracted in our system. To compensate the rotational effects of the retinal scanner, a rotation compensator was designed. For optic disc localization, the Haar wavelet and snakes model have been used. The experimental results show an error rate close to zero for the propose method.
Highlights
Nowadays with the growth of information technology and the need for high security, applying different identification methods has received special attention
Retina is surfaced by blood vessels which branch from a part called Optic disc and spread through the retina surface
In23 from the Harris detector has been used for this purpose. Another method that has been used in some papers, is applying Fourier or Wavelet Transform on retinal images to feature extraction based on the level of energy in different part of the image
Summary
Nowadays with the growth of information technology and the need for high security, applying different identification methods has received special attention. It is important for an identification system is to be accurate, low cost, fast, and safe. Some current identification methods are based on the recognition of fingerprint, face, hand palm, iris These methods are all vulnerable considering plastic surgeries and similar changes, while this is not the case for the retina. Human retina would never change during one’s life This characteristic and the uniqueness of the retina blood vessels pattern increases identification accuracy and is the most accurate method among other biometric systems[1,2]. By applying some preprocessing stages on retina image, arises the performance and neediness of accurate and valid retina recognition system
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
