IRIS SCANNING SEMINAR REPORT PDF
22 Oct seminar report on iris recognition a tool for modern security. Iris recognition is a biometric technology for identifying humans by capturing and. Iris Scanning. Seminar Report ‘ BIOMETRICS – FUTURE OF IDENTITY Biometric dates back to ancient Egyptians who measured people to identify them. Iris Scanning Seminar Report – Download as Word Doc .doc /.docx), PDF File . pdf), Text File .txt) or read online.
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Biometric technology has now become a viable alternative to traditional identification systems because of its tremendous accuracy and speed.
The importance lies in the necessity for the control of fraud, competence seminae administration, and benefits to users of various systems. Once the camera has located the eye, the kris recognition system then identifies the image that has the best focus and clarity of the iris Figure 5. The iris recognition consisted of three major components: The cornea and the aqueous humor in front of the iris rfport it from scratches and dirt, the iris is installed in its own casing.
Daugman was awarded a patent for his automated iris recognition algorithms. Apart from being a necessary condition in Madonna University, it is also an opportunity for the researcher to conduct an independent study based on empirical data. The automatic procedure uses a set of cameras that locate the face and iris automatically thus making this process much more user friendly.
In addition, different eye-to-camera distance may result in different image sizes of the same eye.
A SEMINAR REPORT ON IRIS RECOGNITION: A TOOL FOR MODERN SECURITY ~ Fruitty Blog
An Iris-Scan model iris scanner. The iris pattern remains stable and unchanged after the age of two year and does not degrade over time or with the environment. Such devices greatly ease logistical and staffing problems.
The template for each user is stored in a biometric system database. The tremendous accuracy of iris recognition allows it, in many ways, to stand apart from other biometric technologies. Biometric dates back to ancient Egyptians who measured people to identify them. It is a thin diaphragm stretching across the anterior portion of the eye and supported by lens.
One technique for comparing two Iris-Codes is to use the Hamming distance, irls is the number of corresponding bits that differ between the two Iris-Codes. Image Pre-processing, Feature Extraction and Pattern matching. Its physiological response to light, which provides one of several natural tests against artifice. Information and Security, PP A Modern Era for Security.
Scnaning processing is composed of two steps which are Iris Localization and Iris Normalization. Even the left and right irises of a single person seem to be highly distinct.
After iris localization, the final step is pattern matching of the iris image which generates a match score by comparing the feature sets of two iris images. An unauthorized person may get access to confidential data or important documents can be stolen. According to Masekthe iris is a thin color circular diaphragm, which can be found between the cornea and the lens of the human eye and close to the pupil. Internet security, control of access to privileged information.
The following recommendation are general in scope and are intended for those institutions, security directors or managers of building, and homeland security experts with interest in access control reoort.
Hence, there is an essential need for personal characteristics-based biometric identification due to the fact that it can provide the highest protection against impersonation. Its higher uniqueness in shape than face or fingerprints ensures that an authentication system using the iris is immensely reliable.
It is a multi layered structure.
In conclusion, it provides an accurate and secure method of authenticating users onto company systems. The three main types of authentication are something you know such as a passwordsomething you have such as a card or tokenand something you are biometric.
The uniqueness of the iris and low probability of a false acceptance or false rejection all contribute to the benefits of using iris recognition technology.
The human iris is a coloured oval — to round-shaped ring surrounding the pupil of the eye. The enrolment module is responsible for training the system to identity a repotr person. The normalization process involves un-wrapping the iris and converting it into its polar equivalent.
So accurate are the algorithms used in iris recognition that the entire planet could be sxanning in an iris database with only a small chance of false acceptance or false rejection.
The striated anterior layer covering the trabecular mesh work creates the predominant texture with visible light. The technology addresses the FTE Failure to Enroll problems which lessen the effectiveness of other biometrics.