- Abstract :
Iris recognition is the process of recognizing a person by analysing the apparent pattern of his or her iris. There is a strong scientific demand for the proliferation of systems, concepts and algorithms for iris recognition and identification. This is mostly because of the comparatively short time that iris recognition systems have been around. In comparison to face, fingerprint and other biometric traits there is still a great need for substantial mathematical and computer vision research and insight into iris recognition. One evidence for this is the total lack of publicly available adequate datasets of iris images. The program converts a photo of an eye to an ‘unrolled’ depiction of the subject’s iris and matches the eye to the agent’s memory. If a match is found, it outputs a best match. The current functionality matches that proposed in the original requirements.
2. Existing System :
In the existing system most of the technologies uses biometrics for identity authentication such as
• Fingerprint Recognition
• Voice Recognition
• Signature Recognition
• Face Recognition
• Palm Recognition
3. Proposed System :
Iris recognition is the most powerful biometric technology for authentication. Nothing else comes close. It is
• Most accurate
• Scalable
• Opt-in
• Non-contact
• Interoperable cameras An iris recognition camera takes a black and white picture from 5 to 24 inches away, depending on the type of camera. The camera uses non-invasive, near-infrared illumination (similar to a TV remote control) that is barely visible and very safe.
SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10
HARDWARE REQUIREMENTS:
Processor : Core I3
RAM Capacity : 2 GB
Hard Disk : 250 GB
Monitor : 15″ Color
Mouse : 2 or 3 Button Mouse
Key Board : Windows 08/10
